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2018 2nd International Conference on Computer Graphics and Digital Image Processing (CGDIP 2018)

CONTENTS

WELCOME MESSAGE ............................................................................................................................................ 2

CONFERENCE VENUE .......................................................................................................................................... 3

ORAL PRESENTER INDEX ................................................................................................................................. 4

INTRODUCTION TO CONFERENCE SPEAKERS ....................................................................................... 5

KEYNOTE SPEAKER ..................................................................................................................................... 5

INSTRUCTIONS TO PRESENTATIONS .......................................................................................................... 7

CONFERENCE PROGRAM OVERVIEW ......................................................................................................... 8

SESSION OVERVIEW ............................................................................................................................................ 9

FULL SCHEDULE .................................................................................................................................................. 10

POSTER PRESENTATION ...................................................................................................................... 19

CONTACT US ............................................................................................................................................. 31

NOTE ......................................................................................................................................................................... 32

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WELCOME MESSAGE

Dear Participants,

Welcome to Bangkok! Welcome to participate in 2018 2nd International Conference on Computer Graphics and Digital Image Processing (CGDIP 2018) and 2018 2nd International Conference on Visual Media Innovation and Production (ICVMIP 2018). CGDIP 2018 and ICVMIP 2018 are organized by Asia Pacific Institute of Science and Engineering (APISE), All the registered and presented papers will be published in the Journal of Physics: Conference Series (JPCS)(ISSN: 1742-6588) , which will be indexed by EI Compendex, Scopus, Thomson Reuters (WoS), Inspec, and other indexing organizations.

CGDIP 2018 and ICVMIP 2018 aim to present the latest research and results of scientists related to Computer Graphics and Digital Image Processing and other topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up-to-date scientific fields.

We would like to thank our outstanding Keynote Speaker: Prof. Shahram Latifi, a Professor of Electrical and Computer Engineering and the Co-Director of Center for Information Technology and Algorithms at the University of Nevada, Las Vegas; Dr. Jonathan Zhang, Strategic Market Development Director of EPLAN Software & Service, for sharing their deep insights on future challenges and trends in.

We would like to thank all the committees for their great support on organizing the conference. We also would like to thank all the reviewers for their great effort on reviewing the papers submitted to CGDIP 2018 and ICVMIP 2018. Special thanks to all the researchers and students who with their work and participate in the conference.

We hope you enjoy the conference, the food, the hospitality, and the beautiful and charming city of Bangkok.

Prof. Shahram Latifi

Conference Committee Chair

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CONFERENCE VENUE AND TRANSPORT INFORMATION

Novotel Bangkok Platinum Pratunam, Bangkok, Thailand

220 Petchaburi Road, Ratchathewi, Bangkok 10400 Thailand

Transportation: 1, From Suvarnabhumi International Airport, take a taxi for 41 minutes to get to the hotel directly. 2, Walk 25 minutes from Suvarnabhumi International Airport to get on the SRTET City Line, then get off at Ratchaprarop station and walk 800 meters to the hotel in about 10 minutes. 3, From Don Muang Airport, take a taxi for 35 minutes to get to the hotel directly.

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ORAL PRESENTER INDEX

Anastasia Rita Widiarti, M.Kom.

Eva Pajorova

Hao-fei Li

J Gao

Lijun Jiang

Qurban Ali Memon

Qurban Ali Memon

Ricky Christanto

Yun-Nan Chang

Zerui Cheng

Zhihui Pang

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11

14

14

12

16

17

12

17

15

13

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INTRODUCTION TO CONFERENCE SPEAKERS

Keynote Speaker 1 Prof. Shahram Latifi University of Nevada, Las Vegas, USA

Biography: Shahram Latifi received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Louisiana State University in 1986 and 1989, respectively. He is currently a Professor of Electrical and Computer Engineering and the Co-Director of Center for Information Technology and Algorithms at the University of Nevada, Las Vegas. Dr. Latifi has taught courses and performed research in various areas including Image Processing and Document Analysis, Data Compression, Remote Sensing, Biometrics, Security, Computer Networks and Machine Learning. He has authored/co-authored over 250 technical articles in reputable journals and conferences. He is the recipient of several research awards including the most recent one- Silver State Scholar research award in 2014. His research has been funded by NSF, NASA, DOE, DoD/DTRA, Boeing, Lockheed and Cray Inc. Dr. Latifi was an IEEE Distinguished Speaker ( 1997-2000), an Associate Editor of the IEEE Transactions on Computers (1999-2006) , Co-founder and General Chair of the IEEE Int'l Conf. on Information Technology (ITCC 2000-2004) and founder and General Chair of Int’l Conf. on Information Technology-New Generations (ITNG 2005-2018). He has delivered keynotes in international IEEE conferences around the world. He has also served on the editorial board of several international journals. He is an IEEE Fellow (2002) and a Registered Professional Engineer in the State of Nevada.

Keynote Speaker 2 Dr.Jonathan Zhang EPLAN Software & Service Strategic Market Development Director

Biography: Dr. Jonathan Zhang has more than 21 years of CAD/CAE/PLM industry experience, in-depth research in the CAX field, and in-depth research on manufacturing enterprise R&D management and business processes. And working for SolidWorks over 11 years， as senior technical manager of East China Region ,CAE Product Manager of Greater China, and Business Development Director different roles

In addition, he participated in a national research institute of more than 8 years engaged in core new product research and development, simulation and experimental research work, presided over a number of ministerial-level vertical topics, presided over the formulation of

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national industry standards, and assumed many horizontal projects•. Published dozens of original articles and compiled and published many foreign articles in the national core journals.

AS industry strategy manager of AUTODESK Greater China, responsible for the strategy and market development of Autodesk cloud platform solutions. He also holds the position of strategic market development director of EPLAN software and service company

At present, he was also a consulting expert in the field of digital design of Shanghai Electric Group and other large Chinese enterprises.

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INSTRUCTIONS TO PRESENTATIONS

Devices Provided by the Conference Organizer: Laptops (with MS-Office & Adobe Reader) Projectors & Screen Laser Sticks Tape

Materials Provided by the Presenters: Oral Presenter: PowerPoint or PDF files Duration of each Presentation (Tentatively) Poster Presenter: Poster: 0.8m*1m; color printing; Add Conference Name’s Acronym on the top of poster (Such as “CGDIP 2018”)

Minutes of Q&A Keynote Speech: 40 Minutes of Presentation Presenter: 15-20 Minutes of Presentation

NOTICE: Certificate of Participation will be awarded by Session Chair after each presentation

finished. The organizer will not provide accommodation, so we suggest you make an early

reservation. One best presentation will be selected from each session. The best one will be announced

when each session ends, and will be awarded by the session chair after each session in the meeting room.

The attendee should provide the Confirmation Letter of Attendance when register.

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CGDIP 2018 CONFERENCE PROGRAM OVERVIEW

July.27

Registration 14:00 - 17:00

Registration and Conference kits collection Hotel Lobby

July.28

Opening Ceremony Keynote Speech and Group Photo

Presentation session Lunch Presentation session Dinner

9:00-9:10 9:10-9:50 9:50-10:30 10:30-11:00 11:00-12:00 12:00-13:30 13:30-15:00 15:00-15:30 15:30-16:50 18:00-19:00

Shahram Latifi Jonathan Zhang Coffee break and group photo

Presentation Session I

The Square Restaurant

Presentation Session II

Coffee Break

Presentation Session III

The Square Restaurant

Opening Ceremony & Keynote Speech Session ( TOPAZ II ) Session I

( TOPAZ II ) Session II &III ( TOPAZ II )

July.29

Technical Tour

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SESSION OVERVIEW

Session I July. 28, 2018

11:00-12:00 TOPAZ II

P009 Eva Pajorova

A virtual reality visualization tool for three-dimensional biomedical nanostructures

P030 Ricky Christanto

Visual Discomfort Detection on Facial Expression Analysis using Deep Learning Technique

P032 Lijun Jiang

The development of a potential head-up display interface graphic visual design framework for driving safety by consuming less cognitive resource of driver

Session II July. 28, 2018

13:30-15:00 TOPAZ II

P039 Zhihui Pang

A New Visual Analysis Approach to the High Dimensional Data

P033 Hao-fei Li

Research on image segmentation method based on consistency theorem and merging criterion

P021 J Gao

Surface Coverage Classification of UAV High Resolution Image Transmission Lines Corridor based on Total Convolution Neural Network

P1024 Zerui Cheng

Circle-Landmark-Based Machine Learning Localization Algorithm

Session III July. 28, 2018

15:30-16:50 TOPAZ II

P1005 Qurban Ali Memon

Detecting Computer Vision Syndrome using Eye Blink-An Experimental Evaluation

P1015 Yun-Nan Chang

An Efficient Prediction-Based Tree-Traversal Method for Ray-tracing

P1013 Qurban Ali Memon

Tracking and Disabling Smartphone Camera for Privacy

P1022 Anastasia Rita Widiarti, M.Kom.

A Proposed Model for Javanese Manuscript Images Transliteration

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FULL SCHEDULE

Registration

July. 27, 2018 Friday

14:00 -17:00 Hotel Lobby

14:00 -17:00

Participants Registration and Conference kits Collection

Keynote Speech Session

July 28, 2018 Saturday

9:00-11:00 TOPAZ II

9:00 - 9:10 Opening Remark

9:10 - 9:50 Keynote Speech 1

Prof. Shahram Latifi University of Nevada,

Las Vegas, USA

Title of Speech: Toward Reaching Human Intelligence: Recent Advances in Machine Learning

Abstract: After being overlooked for a few decades, Machine Learning (ML) has become the center of attention once again, finding its applications in areas such as Healthcare, Education, Security, Transportation, Social media and e-Commerce, to name a few. ML methods, through adaptation and automation, bring about substantial savings in time and money. Factors contributing to the popularity of ML include major advancements in computing power and data storage capacity as well as the exponential growth of data in various fields. An overview of ML, its past, present and future is presented followed by some of the main techniques employed in this area. Examples of how ML techniques benefit different applications are given and, as a specific case, a new ML approach to achieve network security is described. Hot topics of research and future trends of ML are discussed. Finally, socio-economic factors that will accelerate/impede the adoption of ML techniques are presented.

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9:50 - 10:30 Keynote Speech 2

Dr. Jonathan Zhang EPLAN Software & Service, Germany

Title of Speech: CAD&CAE Cloud Platform Technology Practice and Prospects

Abstract: Introduce the development direction of the current mainstream CAD&CAE software on the cloud platform, and introduce the additive manufacturing, AI, machine learning, VR/AR technology, and prospects the development direction of CAD/CAE new technology.

10:30 -11:00 Group Photo and Coffee Break

Session I

July. 28, 2018 Saturday

11:00-12:00 TOPAZ II

P009

Presenter: Eva Pajorova

Institute of informatics, Slovak academy of sciences, Bratislava, Slovakia

Title: A virtual reality visualization tool for three-dimensional biomedical nanostructures

Authors: Eva Pajorová, Ladislav Hluchý, Ivan Kostič, Júlia Pajorová, Markéta Bačáková and Martin Zatloukal

Abstract: Nanoscience is the source of many advanced techniques and applications, the areas of life sciences and materials sciences included. In the field of materials, the latest technological developments have enabled the emergence of innovative materials. There are numerous of nanomaterials in the field of healthcare (nano-, bio- electronic, tools for medical diagnostics, theragnostics, etc.). It also can be noted that the involvement of nanotechnology to problems of medicine and health care is causing a revolution in the biomedical field, including nanomedicine with the emergence of new disciplines such as nanobiomechanics and nano-biology (mechanics of cells, cancer, microbiology, virology, etc.). The paper describes our new approach to creating 3D nanostructures on the SEM frame base.

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The impact of our research is demonstrated on the 3D digital model of nanostructures which includes 3D coordinates of nanostructures and is ready for the next research simulation process and also for virtual reality (VR) of the research results.

P030

Presenter: Ricky Christanto

Chung Yuan Christian University, Taiwan

Title: Visual Discomfort Detection on Facial Expression Analysis using Deep Learning Technique

Authors: Ricky Christanto and Shaou-Gang Miaou

Abstract: Visual discomfort usually occurs when the visual demands of the task exceed the capability of the human visual system. In our case, we investigate the visual discomfort caused by the excessive disparity of stereoscopic display. The picture quality of an object determined by the human visual system can be distorted when visual discomfort occurs. Therefore, visual discomfort assessment is necessary if we want to evaluate such quality more precisely. Analysis of facial expression is often used by the expert to extract visual discomfort information. An automatic visual discomfort detection system based on human facial expression is proposed to reduce the cost of hiring human experts. The effective landmarks generated around the eyes on human facial features are used to reduce computational cost. We adopt a deep learning technique called Long-term Recurrent Convolutional Networks (LRCNs), which is applicable to visual time-series modelling. The variation in landmarks from frame to frame is used to train the system and build a visual discomfort model based on the human facial expression. The video sequences containing human facial expressions and the corresponding discomfort values are collected as datasets for training and testing. For the sake of real-time application, a simple neural network architecture and a moderate image size are considered. The model is used to detect and produce a five-scale visual discomfort score. The accuracy and computational cost of the proposed system are evaluated and compared with the previous work.

P032 Presenter: Lijun Jiang

South China University of Technology, China

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Title: The development of a potential head-up display interface graphic visual design framework for driving safety by consuming less cognitive resource of driver

Authors: Lijun Jiang, Zhen Liu, Guiwei Zhang and Zhelin Li

Abstract: The Head-Up Display (HUD) interface design for driving safety has caught the attention of the design and manufacture industry. There is a need for developing a method of HUD interface graphic design for driving safety. Thus, this paper aims to develop a new potential HUD interface framework for driving safety by consuming less cognitive resource of driver. This research studied the existing HUD products on the market to identify drawbacks of visual interface design, such as inappropriate font, inappropriate color scheme, and inappropriate graphics for cognitive impact, which is followed by investigation of the in-vehicle information types related to driving safety according to the user research. The proposed Framework is designed to in line with the user research of in-vehicle information, and to overcome the drawbacks for driving safety by consuming less cognitive resource of driver

12:00 -13:30

Lunch

Session II


13:30 -15:00 TOPAZ II

P039

Presenter: Zhihui Pang

Beijing University of Posts and Telecommunications, China

Title: A New Visual Analysis Approach to the High Dimensional Data

Authors: Meina Song, Zhihui Pang and Haihong E

Abstract: With the advent of cloud computing and big data era, high-dimensional data sets are widely available in real life. Because of the increase of data dimension and complexity, it is difficult to carry out comprehensive analysis and exploration for high-dimensional data. Therefore, we propose a new visual analysis

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approach to high-dimensional data. Firstly, we use the principal component analysis (PCA) to reduce the dimension of the high-dimensional data. Then, we use clustering algorithm to classify the reduced dimension data, and each class is rendered independently with different color. Finally, we use the edge binding algorithm to perform a visual clustering. The curves in the same classes are converged and in different classes are separated to alleviate visual confusion. In order to analyze the visualization results better, we also provide the visual interaction technology of "brush". The experimental result shows that our approach can help users to explore the implicit feature patterns quickly and is effective for visual analysis of large-scale high-dimensional data.

P033

Presenter: Hao-fei Li

Hohai University, China

Title: Research on image segmentation method based on consistency theorem and merging criterion

Authors: Jia-min Lu, Hao-fei Li, Di Yuan, Ya-wen Miao and Yi-fan Lei

Abstract: This paper takes Hongze lake as an example to explore a novel image segmentation method. We use the regional consistency theorem and the merging criteria to merge discrete pixels of similar features into smaller regions. Thereby, the lake area can be represented by a number of pixels, and the area's change trend can be measured by simply counting the pixel numbers before and after. By using this algorithm, it is possible to skip the cumbersome steps of calculating the area and obtain the area change trends rapidly, as it avoids a large number of duplicate calculations and reduces the situation of missing extreme pixel points. In addition, it saves the required time on manual processing and increases the processing efficiency greatly. Finally, the validity of the proposed algorithm is verified by comparing the lake area data with the yearbook.

P021

Presenter: J Gao

School of Electrical Engineering, Wuhan University,Wuhan, China

Title: Surface Coverage Classification of UAV High Resolution Image Transmission Lines Corridor based on Total Convolution Neural Network

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Authors: T Guo, L Xu, W Wang, Y Wei, Y Yang, J Gao and S Jian

Abstract: In recent years, UAV imagery has been applied more and more to the work of power line inspection. Surface coverage classification is a key step. Because of the size and amount of data of UAV high-resolution images, the accuracy requirements of traditional classification algorithms can no longer meet the practical needs. In this paper, a pixel level classification algorithm based on full convolution neural network is proposed. The total convolution neural network model reduces the error caused by other forms of deformation such as image translation, scaling, tilting and so on. In the application of UAV image, the total convolution neural network is used to classify the image, and the high dimensional information extracted from the coiling layer is used to learn the feature of the image fully, and the accuracy of the classification is improved. By comparing with the random forest algorithm, the advantages of the full convolution neural network in the classification of the surface coverage of the UAV transmission line corridor are verified, and the reference value is provided for the electric patrol line and the image classification of unmanned aerial vehicles.

P1024

Presenter: Zerui Cheng

School of Physics, Sun Yat-Sen University, Guangzhou,China

Title: Circle-Landmark-Based Machine Learning Localization Algorithm

Authors: Zerui Cheng, Zizhao Huang and Jiahui Wang

Abstract: With the continuous increase of freight volume, efficient automated guided vehicles (AGV) have been gradually taking the place of human beings as the mainstream of cargo sorting. Most AGV cars use QR code positioning system for its low-cost and convenience. However, this kind of systems will limit the movement of AGVs, which leads to extremely low space utilization. To solve this problem, a monocular visual positioning method based on machine learning, Circle-Landmark-Based Machine Learning Localization Algorithm is presented. The marker of the positioning system is a novel type of self-designed special ring marker, which uses two different colors to represent the binary code. The figure of the coded marker in the image taken by AGV can present the position of the marker and orientation. Meanwhile, it is able to predict the

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relative distance between the marker and the object (AGV) by GBRT algorithm and get the relative angle in the images directly. Finally, combining with the information got from the coded marker and predicted results, the object can calculate the specific location itself by triangular relations. As a result, the average absolute error of the system is low to 0.34cm in 2m*2m site while the maximum error is 4cm. In terms of the marker, the decoding accuracy rate is up to 93.1%. In order to increase the practicability of the system, we distinguish serveral colors in indoor environment in HSV color space, which extremely enlarge the number of makers

15:00-15:30

Coffee Break

Session III


15:30 -16:50 TOPAZ II

P1005

Presenter: Qurban A Memon

UAE University, UAE

Title: Detecting Computer Vision Syndrome using Eye Blink-An Experimental Evaluation

Authors: Qurban A Memon and Mohammad Y Hassan

Abstract: Nowadays, people spend more time using computers, laptops, and smartphones, etc., that causes decrease in eye blink frequency. Since eye blink spreads tears on eye cornea to moisture, the reduction in blink rate results in eye redness and dryness. In this work, eye blink detector is reported that is utilized to prevent eye dryness and redness. A number of existing eye blink detection schemes are surveyed and then a solution is proposed based on analysis. The proposed solution is based on histogram back projection. The proposed approach detects opening and closing state of the eyes and then if blinking rate is determined to be less than normal, it raises flag for computer vision syndrome. The approach is tested on different data sets under various lighting conditions and its performance is compared and analyzed.

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P1015

Presenter: Yun-Nan Chang

National Sun Yat-sen University,ROC

Title: An Efficient Prediction-Based Tree-Traversal Method for Ray-tracing

Authors: Yun-Nan Chang

Abstract: This paper proposes an efficient tree-traversal scheme in order to accelerate the ray-tracing procedure for graphics rendering. To render a graphics scene, there are many rays of different categories such as primary, shadow or refraction rays that have to be traced. Because nowadays the triangles in the graphics scenes are mostly organized in a tree structure in order to reduce the number of ray-triangle intersection tests, the tracing of a ray has to first traverse the tree to find those leaf nodes that are intersected by the ray. It can be observed that the neighboring rays normally exhibit high coherence such that they will have similar traversal footprint of the tree. Therefore, the key idea of our proposed traversal scheme is to skip some intersection tests by predicting ray-node intersection results based on the previously traced ray. In our scheme, one additional prediction flag is appended to the data structure of each node of the tree. While traversing the tree, the prediction flags will be checked to decide whether to skip the intersection test of some internal nodes of the tree. At the same time, the flags will also be updated to reflect the traversal result of the current node. Our experimental results based on several benchmarks show that the average saving of the intersection count is about 33%, which can lead to about 20% saving of the overall rendering time based on the pure software implementation. The proposed scheme can also help reducing the memory access amount of the tree data.

P1013

Presenter: Qurban Ali Memon

UAE University, UAE

Title: Tracking and Disabling Smartphone Camera for Privacy

Authors: Qurban Memon, Khawla Al Shanqiti; AlYazia Al Falasi; Amna Al Jaberi and Yasmeen Amer

Abstract: With people's easy access to various forms of recent technologies, privacy has decreased immensely. One of the major

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privacy breaches nowadays is taking pictures and videos using smart phones without seeking permission of those whom it concerns. This work aims to target privacy in the current mobile environment. The main contribution of this work is to block the smart phone camera without damaging the smart phone or harming people around it. The approach is divided into stages: body area detection and then camera detection in the frame. The detection stage follows pointing of laser(s) controlled by a microcontroller. Tests are conducted on built system and results show performance error less than 1%. For Safety, the beams are devised to be harmless to the people, environment and the targeted smart phones.

P1022

Presenter: Anastasia Rita Widiarti, M.Kom

Sanata Dharma University,Indonesia

Title: A Proposed Model for Javanese Manuscript Images Transliteration

Authors: AR Widiarti, R Pulungan, A Harjoko, Marsono and S Hartati

Abstract: Manuscript transliteration is generally conducted by reading the manuscript and then writing the results to another piece of paper or storing them on a computer using a specic text-processing program. The procedure of transliteration presupposes that the workers fully understand how to read the manuscript, that no consideration is given to the length of the work, and that workers will concentrate suciently to minimize errors in rewriting. There are 3 main steps for Javanese manuscript image transliteration, i.e., segmenting manuscript, transliterating of Javanese script letters or numbers, and grouping syllables. The implementation of the proposed model was tested on a Javanese manuscript with catalogue number SB.141 and at a condence level of 95% and resulting in a success rate between 69.20% and 87.29%.

18:00-19:00 Dinner

July 29. 2018 Technical Tour

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POSTER PRESENTATION

P004

Title: Design of Anti-distortion Two-dimensional code on Prism and Cylinder Combination Surface based on Pre-stretching

Authors: Fucheng You, Yue Cao, Hechen Gong, Chenwei Zhang and Liqiang Peng

Abstract: Two-dimensional code has shown its impressive performance on mobile payment and advertising marketing. To ensure that the two-dimensional code is correctly identified by recognition devices, the traditional two-dimensional code must be attached to the surface of plane. However, if the code attached to the surface of cylinder or prism carrier, the image of the normal two-dimensional code will be distortion because of image projection, which will lead to identification problem. To this end, we propose a novel approach of design and identification of anti-distortion two-dimensional code on prism and cylinder combination surface based on pre-stretching, to address the challenge of identifying a two-dimensional code on prism and cylinder combination carrier. According to the spatial geometric relation of the two-dimensional code carrier, pre-stretching the normal two-dimensional code image via inverse mapping to obtain the pre-deformed two-dimensional code that will be printed and then pasted on the surface of the carrier. Specifically, the image of the pre-stretched two-dimensional code in the projection plane of the acquisition device is just as the normal two-dimensional code, which will be correctly identified. Experimental results show that the two-dimensional code after pre-stretching could be identified by normal recognition devices.

P010

Title: Research on the Design and Production of Digital Animation Based on Unity3D - Centered on the theme of the idiom story The Dream in the World of Lute

Authors: Yang Yuan, Yu Xinlai and Sun Yan

Abstract: Digital media design, thanks to its unique interactivity, makes the display of cultural abundance rich and diversified. Stimulated by the policy of vigorously boosting the development of cultural and creative industries laid down by the country, the forms of digital media design have emerged in an endless stream. Digital media design, with the aim of serving the whole society, seeks the quintessence of Chinese traditional culture, explores the profound cultural abundance, and displays its cultural charm with humanistic feelings. This article, taking the Chinese idiom story as the basis of design, focuses on the design and production of traditional idiom stories, by means of the Unity3D engine. It, with the aid

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of the design and production of digital animation interactions, integrates cultural connotations into digital design and education service, and explores the ways to enrich the users’ digital interactive experience and to raise their cultural awareness.

P012

Title: Information Visualization of Patents based on Generative Topographic Mapping (GTM)

Authors: Byungun Yoon

Abstract: New technology opportunity has been regarded as a critical activity to derive a technological competitive edge of companies in a turbulent business circumstance. Although a lot of studies have suggested information visualization methods to analyze technology data, little attention has been paid to present detailed directions of technology development with specified characteristics of technology. Thus, this research aims to suggest a systematic approach to visualizing patent information such as patent documents and citation relationship for technology forecasting. For this, first, important keywords that explain functions, materials and so on in collected patent documents are extracted by text mining. Thus, all patent documents are converted into keyword vectors that can structure the contents of patents. Second, patents are visualized in a two-dimensional space and then vacant cells are identified with their estimated keyword vectors by generative topographic mapping (GTM) which can infer the features of vacant cells with an inverse function. Third, promising vacant cells can be chosen by link prediction tools that can connect existing cells with potential but not-yet-existing cells, because many vacant cells will be potential candidates for developing new technologies. A machine learning method such as support vector machine (SVM) is applied to perform the link prediction. We compare the performance of several link prediction techniques. Finally, the results of prediction are validated by comparing the predicted cells with actual developed cells. Three indexes such as precision, recall and lift are calculated to investigate the results of link prediction. Then, this research discussed the implications of using the information visualization and link prediction methods for technology forecasting. In order to illustrate the proposed approach, the water purification patents were collected and analyzed. Thus, the results of this research can help R&D managers plan and evaluate R&D projects for technology development

P018

Title: Study on Application of Audio Visualization in New Media Art

Authors: Yingfang Zhang, Yi Pan and Junren Zhou

Abstract: Audio Visualization is an objective interpretation and judgment for music representation, and an approach of representation used to understand, analyse and compare representation capacity and internal

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structure of music. As a way of representation for new media art, audio visualization is widely used and frequently appreciated, from large light show, stage performance to music video and so on. With Cyber Space as an example, this paper has explained how audio visualization is planned, designed and produced in new media art products. In addition to creativity idea origin, product naming, style definition, music selection and editing, scenography and interactive design, software and hardware resources used in product creation are also briefed.

P019

Title: A New Search Model for Liquid-based Cervical Cells Based on Auto-focus Microscope System

Authors: Qinghua Li, Xingfeng Xu, Xueyu Li and Jun Du

Abstract: Liquid-based cervical cytology test which one of the most important method of detecting cervical lesions has a good effect on diagnosis and prognosis of cervical carcinomas. Speed of manual scanning is slow, furthermore large quantities of works repeated due to the presence of visual fatigue that lead to misdiagnosis. Automatic screening method for pathological cells is proposed based on auto-focus microscope system combined advanced machine vision technology and image processing technology, convenient for doctors find suspicious cells. This way can improve the efficiency of medical workers and avoid misdiagnosis. The key technology of auto-focus microscope system is that scanning automatically of liquid-based cervical cell. An efficient and accurate focus method can find a clear image quickly, which is of great significance to the detection of abnormal cells. In this paper, we proposed a new research mode for auto-focus microscope system, based on the micrograph characteristics of liquid-based cervical cytology. Results show that the approach outperforms with high accuracy and comparable performance.

P020

Title: Application Study of Fuzzy ARTMAP in Robot Servo System

Authors: RUI YANG

Abstract: Robot vision servo control is one of the hotspots in robot research field. However, it is difficult to establish an accurate mathematical model for robot vision servo system. In this paper, a robot visual servo system based on Fuzzy ARTMAP is proposed by using computer vision technology as well as fuzzy theory. After creating a mathematic model stricter, we present a simulated experiment to verify the performance of this system, which shows the superiority of Fuzzy ARTMAP by comparing it with other traditional visual servo system.

P023 Title: Research on video image vehicle tracking algorithm based on random forest method

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Authors: Li Yanxue, Lv Fang and Ming Xiaojing

Abstract: On the basis of apparent tracking theory of discriminant model ,we put forward a vehicle video tracking improvement algorithm based on the random forest classifier to seek a better classifier confidence figure, so that we can improve the tracking accuracy. After getting the degree of confidence of the rectangular image block predicted by the classifier, the pixels and the distance information between rectangular image blocks have different impacts on the degree of confidence. According to this feature, using the pixel confidence estimation method based on weighted distance information to improve the confidence estimation accuracy of pixel, and then improve the tracking accuracy.

P024

Title: Ship target detection algorithm for maritime surveillance video based on Gaussian mixture model

Authors: Zuohuan Chen, Jianxuan Yan and Zhen Kang

Abstract: The paper presents a vessel target detection algorithm to achieve the maritime visual surveillance, which aims to reduce the influence of clutter that exists in the background and improve the reliability of ship target detection. In the proposed detector, the main steps including background modeling, model training and updating and the segmentation of foreground, are all based on Guassian Mixture Model (GMM). By exploiting the characteristics of GMM, we simply determine whether new pixels, in the video, belong to the foreground. Having modeled surveillance region, we roll out the moving ship detection using background subtraction, segmenting the ship target by the continuity of the adjacent frames. The target precision rate of the algorithm is 97.29% and the false alarm probability is 22.83% in the experiments. Comparing with other algorithms, the results show that this algorithm can not only improve target precision rate, but also reduce false alarm probability, and greatly overcome the influence of large amount of clutter on the detection of moving ship objects in video background, effectively restraining the influence of the noise from the dynamic scenario transformation.

P025

Title: Single Image Haze Removal with Improved Atmospheric Light Estimation

Authors: Yincui Xu and Shouyi Yang

Abstract: A novel method for atmospheric light estimation has been proposed in this paper. The new estimation method, called Estimation Based on Patch Size Adjustment (PSA), firstly segments the sky region of dark channel through threshold segmentation method and then adaptively adjusts the patch for dark channel until the estimated atmospheric light is right in the segmented sky region. Experimental results show that this method is effective even when the intensity of some scene objects is

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inherently higher than the atmospheric light and no shadow is cast near them. However, PSA spends a lot of time on adjustment. In order to improve the time efficiency, another simplified method, called Estimation Based on Sky Region Segmentation (SRS), is proposed by directly estimating the atmospheric light in the segmented sky region. The test results show SRS is almost as good as PSA on haze removal effect. Both methods have advantages on improving visual effect and objective indicators of the haze-free images.

P034

Title: Research on Facial Expression Recognition Based on Active Learning

Authors: Yan Wan, Hongjie Ni, Xiaodong Peng, Yining Guo, Li Yao and Xiangyang Feng

Abstract: In order to solve the problems of low recognition accuracy and poor robustness in traditional facial expression recognition research methods, this paper presents a study of methods based on active learning. The method is based on active learning and combines support vector machine algorithms to construct a learning network similar to the human visual system. Active learning learns the corresponding facial expression action unit through training, and utilizes support vector machines to classify different action units and ultimately maps to corresponding facial expressions, thereby realizing recognition of facial expressions. Experimental results show that this method can effectively suppress correlated noise and obtain relative information. It not only has good robustness, but also improves the recognition rate of facial expressions and can meet actual needs.

P035

Title: The design of deformed femur osteotomy system

Authors: YongHui Ma and TingChun Shi

Abstract: In order to achieve more accurate deformity femoral osteotomy, a software system for deformity femoral osteotomy was designed to facilitate the clinical preoperative simulation. First, 3D modeling was simulated using Mimics17.0 and saved as STL file. Then, MFC and OpenGL was utilized to build the deformed femur osteotomy system, the accurate osteotome position and osteotomy angle were obtained by fitting the axis of the deformed femoral shaft and the geometric center of the greater trochanter of femoral head. Finally, mock splicing was performed to determine the postoperative neck angle. A case of abnormal femoral STL model was introduced into the osteotomy system and whose collodiaphyseal angle was measured as 57.7 °, input osteotomy angle was 60 °, and the postoperative collodiaphyseal angle was measured to be 102.3 ° after completing the osteotomy simulation. The experimental results show that the system can quickly provide doctors with a more

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accurate osteotomy program, as well as preoperative surgical simulation, which will save the doctor's clinical diagnosis time and increase the accuracy of osteotomy.

P036

Title: A Data-Driven Approach for 3D Human Body Pose Reconstruction from a Kinect Sensor

Authors: Li Yao, Xiaodong Peng, Yining Guo and Hongjie Ni

Abstract: In the study of virtual fitting techniques, human body modeling has always occupied a very important position. Whether a model that is roughly consistent with users can be established has a direct impact on the fitting experience of users. Based on this, we propose an automatic human body pose registration algorithm which can efficiently construct a posed model using priori data and a single Kinect sensor, and provide a good foundation for the later shape registration. Because of the complexity of the human body, there are so many methods that just reconstruct a human body model but no rigged animation skeleton inside. To solve this, we use SMPL which is a recently published statistical body model to fit 3D joints acquired by a Kinect sensor. And finally we project the posed model to the corresponding person in the color image to improve the fitting experience. Our experiments show that the speed and the estimation error of the algorithm are within the tolerance of virtual fitting.

P037

Title: Research on 3D Human Body Deformation Based on Biharmonic Weights and Skeleton Skin

Authors: Li Yao, Yining Guo, Xiaodong Peng, Hongjie Ni, Yan Wan and Cairong Yan

Abstract: A new 3D human body deformation algorithm based on bounded biharmonic weights and skeleton skinning algorithm is proposed to improve the defects in traditional Laplace algorithm and contour-driven algorithm, such as the detail distortion and the topological structure change in 3D human body deformation. The deformation is a process from local to global. Firstly, the standard human model is bound to the annular skeleton, and then the local mesh deformation is implemented on the standard human body model based on the bounded biharmonic weights, and then we use the 3D human body proportion measured before to adjusts the position of the skeleton point, finally the 3D human mesh model can be quickly edited with the effect of the skeleton skinning algorithm. The experimental shows that the algorithm can not only maintain the topological structure of the local grid effectively, but also achieve faster 3D model mesh editing compared with directly working on all grid vertices.

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P040

Title: Nudged Elastic Band in Analysis of Range Image High-contrast Patches Authors: Kewen Cha and Shengxiang Xia

Abstract: The nudged elastic band method is a main tool for searching minimum energy paths in computational chemistry. In this paper, Morse functions are created by the sampled data from range image high contrast small patches, then one-dimensional cell complexes are built from the Morse functions by using the nudged elastic band method, topological features of range image data are detected by a sequence of cell complexes.

P042

Title: Tracking and locating moving targets based on kinect

Authors: xusha, dengjiahao, duanzuodong and fangqiang

Abstract: With the development of amusement robot, this paper is based on badminton robot，This paper propose a simple and extremely efficient tracking algorithm .Using device sensor can obtain the moving target three-dimensional coordinates, the algorithm is based on the depth of the moving target information, combining the background subtraction to remove some fixed background, the nonlinear cross filtering algorithm is proposed to remove noise, which establishes the rules for target recognition based on list sorted collection, to realize the moving target detection. According to motion model to forecast the object orientation of the next frame, combined with the a priori and real-time detection target state to the target location, at the same time by time lag compensation to further improve the real-time and accuracy. Through experiments, the results show that the prediction and actual error of the drop point are within the range of 30*30mm2, which meets the research requirements of 200*200mm2.Robot can return the ball with an 84% chance. The effectiveness of the proposed tracking and target algorithm is proved.

P1002

Title: Colorblind Image Correction Based on Segmentation and Similarity Judgement

Authors: Rong Ye and Ce Li

Abstract: Color blindness is the common disease of color vision deficiency (CVD), mainly caused by the heredity. Suffering from color blindness, a significant percentage of population faces the difficulty of recognizing color-based information. In this paper, we propose a colorblind image correction algorithm to accommodate digital images for color vision deficiency users. The algorithm has two parts: 1) image segmentation by K-means and system-clustering algorithms; and 2) image correction based on similarity judgement and multi-factor selection of color replacement. We then test the efficacy of our algorithm through simulations.

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P1006

Title: Design And Implementation Of Object Oriented Large-scale Finite Element Visual System

Authors: Xiaohui Wang and Liang Chang

Abstract: As to the large scale visualized demands of Engineering finite element calculation system, a highly open visual software named HAJIF_PrePost is designed and implemented. In the architecture design, the hierarchy structure design of framework is detailed based on the object-oriented design technologies. In the pre-processing, Fem model data was documented and variable memory was managed by Boost which is similarly C++ standard lib. And the method of node-face correlativity and Depth-Buffer mechanism of OpenGL were used to improve visibility efficiency for Fem model. In the post-processing, the contour drawing, deforming and animation generation is design and implemented, then add rear query function. The practical application shows that it has a practical performance, user experience, and extensibility.

P1007

Title: Multi-Scale Motion Attention Fusion Algorithm for Video Moving Target Detection

Authors: Liu Long and Fan Jiang

Abstract: Motion Target detection is a key technology in video analysis, this paper propose a target detection algorithm based on multi-scale motion attention analysis, which provides a new method for motion target detection under global motion scene; Firstly, the noise of motion vector field is removed by filter, and according to the mechanism of visual attention, spatial-temporal motion attention model is built, then the trust degree of motion vector is suggested on the basis of validity analysis of motion vector, and decision fusion of multi-scale motion attention is carried by D-S theory to detect region of motion target; The test result of different video shows the algorithm is effectively for target detection under global motion scene, overcome the defect of traditional algorithm and has better robustness than other algorithms.

P1011

Title: Research of Image Recognition and Classification Based on NIN Model

Authors: Liu Mengxi, Ju Yongfeng, Song Jiuxu and Wang Zheng

Abstract: Focus on the weak feature expression ability of traditional Convolution Neural Network (CNN) in image recognition and classification, the CNN has been improved and optimized by introduction of Mlpconv layer to form a Network in Network (NIN). The NIN enhances feature extraction and abstract expression of the local patch; get better performance of the image recognition. The experiments of weld image

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recognition and classification show that the optimized CNN can improve the feature expression ability of the whole network by reducing the number of parameters, obtain higher recognition and classification precision, and avoid the fitting of the network model effectively. The CNN achieve improvement in both performance and efficiency.

P1012

Title: A Display Method for Large-Scale Transmission and Transformation Equipment Load Capacity Spatio-temporal Data

Authors: Qin Jiafeng, Zhou Chao, Lin Ying, Wang Huajia and Yang Feng

Abstract: With the rapid growth of the power grid scale, the higher requirements are put forward for power grid safety and power supply reliability. In order to display power transmission and transformation equipment state information better , this paper puts forward a method to display large-scale transmission and transformation equipment load capacity spatio-temporal data.The data of different systems are integrated and processed, and the load capacity of the power grid equipment is finally obtained.The distribution of equipment load capacity is realized by drawing the transmission equipment on the map with its load capacity information.Finally, combining time and space information, we realized the dynamic rotation of load capacity of power grid transmission and transformation equipment.Through dynamic playback,it can show the inherent laws of equipment load capacity ‘s change and effectively solve the defects of the present display method.Finally, it provides the basis for the maintenance personnel to carry out equipment maintenance.

P1016

Title: PCANet Based Digital Recognition for Electrical Equipment Infrared Images

Authors: Yin Ling, Jiafeng Qin, Weiwei Zhang, Hao Zhang, Demeng Bai and Ran Xu

Abstract: In this paper, a digital recognition method for electrical equipment infrared images based on PCANet is proposed. We use the PCANet deep learning network to identify the printed digital quickly, and then reconstruct the temperature matrix of the thermal image. We discuss the related parameters among the whole procedure, and define a criterion to evaluate the performance. The experimental results show that the algorithm has high accuracy and robustness. With the recovered temperature matrix, a further fault analysis can be proceeded for electrical equipment infrared images.

P1017

Title: RPCA Based Temperature Digit Extraction for Electrical Equipment Infrared Images

Authors: Yin Ling, Jiafeng Qin, Weiwei Zhang, Hao Zhang, Demeng Bai and Ran Xu

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Abstract: In order to meet the demands of massive electrical equipment infrared images automatic diagnosis and provide reliable analysis basis, in this paper, a temperature digit extraction method based on RPCA is proposed. The assumption of this paper is that the infrared images have lost their temperature information during data circulating. We first take advantage of RPCA to get the temperature area and then use histogram statistics to get a single number or symbol area. The experimental results show that the algorithm can extract the digits with high accuracy which could provide data foundation for quantitative infrared image fault analysis.

P1019

Title: Research on Smart Phone Interfaces for the Elderly Based on Ergonomics

Authors: WangFa

Abstract: To improve the usability of products, this thesis discusses about mobile phone interface designs which are more consistent with the elderly’s using habits. Based on a comprehensive analysis of the elderly’s physiological perception functions, the thesis first lists all factors that affect the design of smart phone interfaces. Guiding the interface design with methods targeted at clients’ experience, it puts forward designing principles from the perspectives of information structure, visual design and interactive design. Cooperating the elderly’s demand preferences, it masters design thinking from the macroscopic perspective to explore optimal interface design for the elderly. In the grand context of informatization, this thesis systematically analyzes and researches the characteristics of specific group to find out the relations between the elderly’s smart mobile phones and the human-machine interactive design. It aims at putting forward effective methods of designing optimal user interfaces for the elderly’s smart phones.

P1020

Title: The Research on Human Engineering-based Design of Website Interface of Smart Cellphone

Authors: Chen Chen and Kim Chul Soo

Abstract: As the performance of smart cellphone improves constantly, the design of website interface of cellphone becomes more and more diversified and is constantly optimized and updated. The construction of cellphone website is the currently most popular website construction way in market and the design of website design of smart cellphone can embody the advanced technology of cellphone terminal. The research has analyzed the perceived quality and degree of satisfaction of users according to the current situation of design of website interface of smart cellphone in the current period. And it also has analyzed and studied the tone, layout and interactive mode of website interface of cellphone. Other than prospective

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design thought, the paper aims to propose convenient, humanized and highly efficient methods regarding design of website interface of cellphone and improvement and optimization methods through human engineering theories to enable users to finish the operation of cellphone website through the simplest way. The paper adopts examples and data analysis method to analyze and solve problems. The sense of convenience and fastness and operation habits while using cellphone website will become the mainstream demands. And the design of website interface of cellphone also should conform to the aesthetics of people. The reasonable and scientific layout of website interface and information structure will raise the perception and experience of cellphone website by users to a higher level.

P1021

Title: Naked eye pseudo 3D display technology outside the screen

Authors: Ziyao Wang and Haikun Wei

Abstract: The 3D display technology based on motion parallax has the advantages of no need to wear glasses and has no limitation on the viewing angle. However, the current problems of this method include 3D scenes and models can only be displayed within the screen; the system is sensitive to light. For the first problem, we proposed the concept of virtual bezel, which makes out system could produce a strong illusion that objects displayed outside the screen, and greatly increases the visual impact of 3D display. For the problem of light sensitivity, unlike other system using RGB camera, we use RGB-D images to detect and track the viewer’s face, which makes our system work properly even at night.

P1023

Title: Light-field rendering in the view interpolation region without dense light-field reconstruction

Authors: Young Ju Jeong

Abstract: Different scenes according to a user’s movement are important to provide a real three-dimensional (3D) experiment. The different scenes, called virtual viewpoint images, can be rendered by 3D structures. However, 3D structure reconstruction from camera images requires high computational complexity and computation time. A light-field rendering algorithm uses the light fields captured by the camera array as the input and selects the light rays for the virtual viewpoint image. Herein, a light-field rendering algorithm in the view interpolation region using line interpolation is introduced. The proposed algorithm functions well to generate planar viewpoint images and zoomed in/out viewpoint images.

P307

Title: Identification of core virtual media technologies with data mining and multi-criteria decision making methods

Authors: Chulhyun Kim

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Abstract: Although the role of virtual media technologies in virtual media innovation is becoming more important, the systematic and quantitative analysis of virtual media technologies for virtual media innovation has not been tried to actively. In response, an approach to identify core virtual media technologies based on technological cross-impact is proposed. In specific, the methods for data mining and multi-criteria decision making are systematically applied to the co-classification information of registered BM (business method) patents. First, BM patent data for interested virtual media technology area is collected. Second, the association rule mining is applied to the co-classification information of gathered BM patents in order to calculate the support and confidence values between virtual media technology pairs. A co-classification frequency matrix and a cross-impact matrix are constructed with the calculated support and confidence values, respectively. Third, the ANP (analytic network process) is employed to the constructed co-classification frequency matrix for deriving weights of each virtual media technology in consideration of direct and indirect influences among virtual media technologies. Finally, with the derived weights, the TOPSIS (technique for order performance by similarity to ideal solution) is conducted to the constructed cross-impact matrix, and the priority of each virtual media technology is determined from the overall cross-impact perspective. Then, core virtual media technologies are identified with the determined priority values. It is expected that proposed approach could help companies or nations to formulate strategy and policy for virtual media innovation.

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