• Theoretical Areas• Project Domain• Problem Definition• Motivations• Project Objective

o Main Objectiveo Other Objectives

• Project Methodology• Survey

o Related workso Asking Experts

• Project Architecture• Challenges• Tools• Time plan • References

Computer Vision

Machine Learning

Object Classification

Stereo Vision

The primary motivation for our work is helping blind people

Interested

In Computer Vision

Interested

In Machine Learning

Developing object classification system that may be useful for a large scale of applications.

Surveillance systems

Medical systems

Using stereo vision techniques and narration to develop an object recognition system that help blind to independently navigate the surrounding.

Improve segmentation accuracy using depth information.

“Object Categorization by Learned Universal Visual Dictionary” by Microsoft

Research

• “This field of research is very interesting, but it needs a lot of work to reach to the goals.” Prof. Dr. Mostafa Gadal-Haqq

• “I think your project is somewhat ambitious for a senior project.” Prof. David G. Stork

Classification

Classification

Feature Extraction

Post Processing

Data Acquisition

(Stereo Camera)

Depth Estimation S

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enta

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Narrator(Text To Speech

Engine)

Learned Models

Partial Occlusion

Segmentation Accuracy

Complex Scene

Scale Rotation Illumination

Languages• C++

Open Source• OpenCV Library

Software• Visual Studio 2010 Professional Edition• Matlab 2010

Hardware• Stereo Camera

• Books– Pattern Classification (2nd Edition) by Richard O. Duda,Peter E.

Hart,David G. Stork.

– Digital Image Processing 3rd Ed by Gonzalez and Woods.– Computer Vision: Algorithms and Applications by Richard Szeliski,

Microsoft Research.

• Papers– Peter Carbonetto, Nando de Freitas, Paul Gustafson and Natalie

Thompson. Bayesian feature weighting for unsupervised learning, with application to object recognition.

– Scott Helmer and David G.Lowe, “Using Stereo for Object Recognition,” International Conference on Robotics and Automation(ICRA), Anchorage, Alaska (May 2010).

– D. Hoiem, A. Efros, and M. Heber, “Putting Objects In Perspective, ” in CVPR, 2006