final program wvc2015 v2 - wvc2015.eesc.usp.brwvc2015.eesc.usp.br/final_program_wvc2015.pdf ·...

XIWorkshopdeVisãoComputacionalWVC´2015

October05th–07th,2015

SãoCarlos–SP-Brazil

Program

UniversityofSãoPauloSãoCarlosSchoolofEngineering

XIWorkshopdeVisãoComputacional-October05th–07th,2015

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Summary

WelcometoWVC2015..................................................................................................5GeneralInformation......................................................................................................6AuthorandPresenterInformation................................................................................7

OralPresenters..........................................................................................................7PosterPresenters......................................................................................................7

Committees....................................................................................................................8OrganizingCommittee..............................................................................................8SteeringCommittee..................................................................................................8WorkTeam................................................................................................................9ScientificCommittee.................................................................................................9

Keynote1.....................................................................................................................12Keynote2.....................................................................................................................14Keynote3.....................................................................................................................16OralSession1...............................................................................................................18OralSession2...............................................................................................................19OralSession3...............................................................................................................20OralSession4...............................................................................................................21OralSession5...............................................................................................................22PosterSession1...........................................................................................................24PosterSession2...........................................................................................................28UsefulPhoneNumbers................................................................................................32Annotations..................................................................................................................33


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WelcometoWVC2015

TheSãoCarlosSchoolofEngineering,attheUniversityofSãoPaulo(EESC/USP),

has the pleasure to welcome you to the XI Workshop on Computer Vision (WVC2015)andtothecityofSãoCarlos.

After four consecutive editions outside the state of São Paulo (Curitiba-PR in2011,Goiânia-GOin2012,RiodeJaneiro-RJin2013andUberlândia-MGin2014)thisedition of theWVC will be held again at the city of São Carlos-SP. The academic,technologicandindustrialforceofSãoCarlosconferredtothecitythetitleof"CapitalofTechnology"inBrazil.TheUniversityofSãoPaulo(USP),theFederalUniversityofSão Carlos (UFSCar) and the Brazilian Agricultural Research Corporation (Embrapa)arerecognizedfortheirexcellenceinteachingandresearch,makingthecityapoleofscientific and technological development. São Carlos has a great concentration ofscientistsandresearchers,approximatelyonePhDforevery180inhabitants.

WVC2015wasplannedverycarefullybytheOrganizingCommittee,whichsoughttoprovidetheparticipantswithacompletescientificprogram,withseverallectures,oralsessionsandposterpresentations.Wehopethateveryonecantakeadvantageofthe activities offered by this event, broadening their horizons through the richscientificexchangeofexperiencesamongtheparticipants.

I would like to thank the WVC Steering Committee for trusting our team andapprovingourproposalfororganizingtheWVC2015inSãoCarlos.IwouldalsoliketothankallthestudentsfromtheLaboratoryofComputerVision(LAVI)whohavebeenworkingsohardplanningandorganizingthiseventsincetheearlybeginning.

IamalsogratefultotheDepartmentofElectricalandComputerEngineering,theSão Carlos School of Engineering, FAPESP, CAPES and all ours sponsors for thefinancialandoperationalsupport.

Finally, I would like to thank all the authorswho submitted their work for thiseventandall thereviewerswhosacrificedpartof their timetoevaluatemorethan100paperssubmittedtotheworkshop.

IhopethatyouenjoyWVC2015andthatweallhaveagreatworkshop.

MarceloAndradedaCostaVieiraChairofWVC2015


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GeneralInformation

• Yourbadgeispersonalandnottransferable.Pleaseuseyourbadgetoaccess

allactivitiesoftheworkshop.• Please turnoff yourmobilephonesor switch them to silent/vibratemode

duringallscientificactivities.• Allcertificateswillbesentviae-mailaftertheconference.• TheWVC2015proceedingswillbepublishedonlinesoonaftertheworkshop.

Only papers presented during the workshopwill be published in the finalversionoftheproceedings.

• The ticket for the Conference Dinner must be purchased at the event’soffice.

• Ifyouneedaregistrationreceiptpleaserefertotheevent’soffice.


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AuthorandPresenterInformation

OralPresenters

• Eachoralpresentationwillhave15minutes+5minutesforquestions.• YourpresentationcanbeinPortuguese,butyourslidesshouldbewrittenin

English.• Please refer to theworkshop program to check the day and time of your

presentation.• Please make sure to upload your presentation to the computer in the

meetingroomonthedayofyourpresentation.Thebesttimeisbeforethefirstsessionofthedayorduringbreaks.

PosterPresenters

• Posterspresentationsarehard-copy(paper/poster)formatonly.• YourpresentationcanbeinPortuguese,butyourpostershouldbewrittenin

English.• Poster dimensions shouldnot exceed180 cm (approx. 70 inch) high x 200

cm(80inch)wide.• Pleasehangyourposterinthepanelwiththesamenumberprovidedbythe

WVC2015program.• Pushpinswillbeprovidedtohangyourposter.• Please refer to theworkshop program to check the day and time of your

presentation.• Postersauthorsarerequiredto1)displaytheposterduringthefirstcoffee

break of the day of your session 2) attend the Poster Session to answerquestions.

• Remember that during your poster presentation you will have theopportunity to discuss your researchwithmore details. Thus, prepare thebest poster you possibly can, aiming at both attracting attention of thereadersandhavingenoughmaterialtoanswertheirquestions.


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Committees

OrganizingCommittee

MarceloAndradedaCostaVieiraChairofWVC2015 EESC/USP

EvandroLuisLinhariRodriguesSteeringCommitteeChair

EESC/USP

AdilsonGonzaga EESC/USP

MaximiliamLuppe EESC/USP

ValdirGrassiJunior EESC/USP

MauricioCunhaEscarpinati FACOM/UFU

SteeringCommittee

EvandroLuisLinhariRodriguesSteeringCommitteeChair EESC/USP


AparecidoNilceuArana FC/UNESP

InêsAparecidaGasparotoBoaventura IBILCE/UNESP

MaurílioBoaventura IBILCE/UNESP

MaurícioMarengoni MACKENZIE/SP

LuizAntonioPereiraNeves UFPR

MarcoAntônioPiteri FCT/UNESP


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WorkTeam

MarceloAndradedaCostaVieiraChairofWVC2015 EESC/USP

EvandroLuisLinhariRodriguesSteeringCommitteeChair EESC/USP


MaximiliamLuppe EESC/USP

ValdirGrassiJunior EESC/USP

HelderCesarR.deOliveira EESC/USP

LucasRodriguesBorges EESC/USP

PolyanaFerreiraNunes EESC/USP

TamirisNegri EESC/USP

RaissaTavares EESC/USP

CarolinaToledo EESC/USP

ScientificCommittee


AlessandraAparecidaPaulino UNESPAlexAffonso EESC/USP

AnaCláudiaMartinez UFUAndersonSoares UFGOAndreBindilatti UFSCarAndréBackes UFUAndréMartins EESC/USP

AnfranseraiDias UEFSAnselmoPaiva UFMA

AntonioMariaTomaseli UNESPAntôniodaLuz IFTO

AntônioApolinário UFBAAparecidoNilceuMarana UNESP

AyltonPagamisse UNESPBrunoBarufaldi EESC/USP


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BrunoMatheus EESC/USPBrunoTravençolo UFU

CarlosThomaz FEICarolinaFerraz EESC/USPCeliaBarcelos UFUCelsoOlivete UNESP

CésarCastañon PUC/PeruChidambaramChidambaram UDESC

ClaudioGoes UEFSClodoaldoLima UNICAMP

CristinaNaderVasconcelos UFFDanielAbdala UFU

DaniloEler UNESPDelmarCarvalho UEFSDenisSalvadeo UNESP

EmersonPedrino UFSCarEvandroL.L.Rodrigues EESC/USP

FabrizzioSoares UFGOFátimaMedeiros UFCE

FatimaNunes EACH/USPFlávioBortolozzi CESUMARGiovaniChiachia UNICAMPGustavoB.Borba UTFPR

HelioPedrini UNICAMPHemersonPistori UCDBHomeroSchiabel EESC/USPHugoVieiraNeto UTFPRIálisPaulaJunior UFC

InêsA.G.Boaventura UNESPIvanNunesdaSilva EESC/USPJacobScharcanski UFRGS

JacquesFacon PUCPRJanderMoreira UFSCarJarbasSáJunior UFC

JoãoBatistaNeto ICMC/USPJoãoMarar UNESP

JoãoManuelTavares FEUP/PortugalJoãoPauloPapa UNESP

JoséAlfredoF.Costa UFRNJoséEduardoCastanho UNESP


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JoséRobertoNogueira UNESPJoséSaito UFSCar

JulioCesarNievola PUCPRJurandydeAlmeida UNIFESP

LeandroOliveira UFGOLeonardoBatista UFPBLeonardoMatos UFS

LucasFerrarideOliveira UFPRLucianoLulio EESC/USPLucianoSilva UFPRLucioJorge EMBRAPA

LuizAntonioPereiraNeves UFPRMarceloA.C.Vieira EESC/USPMarceloZanchetta UFU

MárcioAlexandreMarques UNESPMarcoAntônioPiteri UNESP

MauricioC.Escarpinati UFUMauricioGalo UNESP

MauricioMarengoni MackenzieMaurilioBoaventura UNESPMaximiliamLuppe EESC/USP

MessiasMeneguetiJunior UNESPMicheleF.Angelo UEFS

MoacirPontiJúnior ICMC/USPMurilloHomem UFSCar

NelsonMascarenhas UFSCarOdemirBruno IFSC/USP

PauloEduardoAmbrósio UESCPauloM.A.Marques FMRP/USPRaissaTavaresVieira EESC/USP

RicardoFerrari UFSCarRonaldoCosta UFGO

SilviaMartiniRodrigues UMCTamirisNegri EESC/USPThiagoRibeiro UFUValdineiBelini UFSCar

ValdirGrassiJunior EESC/USPWilliamSchwartz UFMG


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Keynote1

Monday-October05th–10:30hto12:00h

ComputerVisioninMedicalImagingandMeasurements

JacobScharcanski,Ph.D.UFRGS-UniversidadeFederaldoRioGrandedoSulInstitutodeInformática,RioGrandedoSul,Brasil

http://www.inf.ufrgs.br/~jacobs/

Abstract: In this talk, computer vision in medical imaging and measurements isproposedas away to facilitate the interpretationofphenomenabasedonmedicalimagery, or tomake inferences based onmodels of such phenomena. In order toillustrate this presentation, several modeling issues in medical imaging andmeasurements arediscussed, and illustratedby examples.Whenmodeling imagingmeasurements, usually we are trying to describe the world (or a real worldphenomenon) using one or more images, and reconstruct some of its propertiesbased on imagery data (like shape, texture or color). Actually, this is an ill-posedproblemthathumanscanlearntosolveeffortlessly,butcomputeralgorithmsoftenarepronetoerrors.Nevertheless,insomecasescomputerscansurpasshumansandhelpinterpretimagerymoreaccurately,giventheproperchoiceofmodels,aswewilldiscuss in this talk.Modelingmedical imagingmeasurementsoften involves errors,andestimatingtheexpectederrorofamodelcanbeimportantinsomeapplications(e.g.whenestimatingatumorsizeanditspotentialgrowth,orshrinkage,inresponseto treatment). Typically, a model has tuning parameters, and these tuningparametersmaychangethemodelcomplexity.Wewishtominimizemodelingerrorsandthemodelcomplexity,inotherwords,togetthe‘bigpicture’weoftensacrificesome of the small details. For example, estimating tumor growth (or shrinkage) inresponse to treatment requiresmodeling the tumor shape and size, which can bechallenging for real tumors, and simplified models may be justifiable if thepredictionsobtainedare informative (e.g. toevaluate the treatmenteffectiveness).This issue is closely related to machine learning and pattern recognition, andtechniques of these areas can be adapted to resolve problems inmedical imagingmeasurements. To conclude this talk, open problems in medical imagingmeasurementsandmodelselectionarediscussedinsomedetail.


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Short Bio: Jacob Scharcanski is a (Full) Professor in ComputerScience at the FederalUniversity of RioGrandedo Sul (UFRGS),Brasil. He holds a cross appointment with the Department ofElectricalEngineeringatUFRGS,andalso isanAdjunctProfessorwiththeDepartmentofSystemsDesignEngineering,UniversityofWaterloo, Canada. He authored and co-authored over 150

refereed journal and conference papers, book chapters and books, and deliveredover 30 invited presentationsworldwide. He serves as an Associate Editor for twojournals, and has served on dozens of International Conference Committees. Inadditiontohisacademicactivities,hehasseveraltechnologytransferstotheprivatesector. Professor Scharcanski is a licensed Professional Engineer (PEO, Canada),SeniorMemberoftheIEEE,MemberofSPIE,andservesasCo-ChairoftheTechnicalCommitteeIEEEIMSTC-17(ImagingMeasurementsandSystems).


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Keynote2

Tuesday-October06th–10:30hto12:00h

PatchFoveationinNonlocalImageFilteringAlessandroFoi,Ph.D.

DepartmentofSignalProcessingTampereUniversityofTechnology,Tampere,Finland

http://www.cs.tut.fi/~foi/

Abstract:Whenwegazeascene,ourvisualacuityismaximalatthefixationpoint(imagedbythe fovea, thecentralpartof the retina)anddecreases rapidly towards theperipheryof thevisualfield.Thisphenomenonisknownasfoveation.Toformacompleteimageofthescene,the human visual system (HVS) typically processes a multitude of foveated retinal imagesgathered at different fixation points. In this talk we look at the analogies and connectionsbetweenthisfeatureoftheHVSandmodernnonlocal(NL)imagefilters.NL filters rely on the assumption that natural images contain a large number of mutuallysimilarpatchesatdifferentlocationswithintheimage:similarpatchesarefirstidentified,andthen used into adaptiveweighted averages ormore sophisticated nonlinear shrinkage. Suchapproachisatthecoreofseveralofthemosteffectiveimagerestorationmethodstodate.Crucialelements in thedesignofNL filtersare themetricordistanceused forassessing thepatch similarity, and the size of the patch. Large patches guarantee stability of the distancewith respect todegradations suchasnoise;however, themutual similaritybetweenpairsofpatches typically decreases as thepatch size grows. Thus, awindowedEuclideandistance iscommonly employed to balance these two conflicting aspects, assigning lower weights topixels far from the patch center. Choosing a metric for patch similarity corresponds toassuming a specific model for describing natural images and their self-similarity: theeffectivenessofNLmethodsdependsstronglyonthevalidityofsuchunderlyingmodel.We particularly investigate a different form of self-similarity: the foveated self-similarity.Foveationherecorrespondstoaspatiallyvariantbluroperator,characterizedbyblurkernelswhosebandwidthdecreaseswiththespatialdistancefromthepatchcenter. Incontrastwiththeconventionalwindowing,whichisonlyspatiallyselectiveandattenuatessharpdetailsandsmoothareasinequalway,patchfoveationprovidesselectivity inbothspaceandfrequency,mimickingtheHVSinabilitytoperceivedetailsattheperipheryofthecenterofattention.Throughout the talk,weadopt the imagedenoisingproblemasa simplemeansofassessingtheeffectivenessofdescriptivemodels fornatural images.We show that, innonlocal imagefiltering,thefoveatedself-similarityisfarmoreeffectivethantheconventionalwindowedself-similarity. To facilitate the use of foveation in nonlocal imaging, we present a generalframeworkfordesigningfoveationoperators,i.e.linearoperatorsproducingfoveatedpatchesby means of spatially variant blur. Within this framework, several parametrized families offoveation operators are demonstrated, including anisotropic ones. Strikingly, the operatorsenabling the best denoising performance on complex natural images are the radial ones, incompleteagreementwiththeorientationpreferenceoftheHVS.


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Short Bio: Alessandro Foi received the M.Sc. degree inMathematics from the Università degli Studi diMilano, Italy, in2001, the Ph.D. degree in Mathematics from the Politecnico diMilano in 2005, and the D.Sc.Tech. degree in Signal Processingfrom Tampere University of Technology, Finland, in 2007. He iscurrently an Academy Research Fellow with the Academy of

Finland,at theDepartmentofSignalProcessing,TampereUniversityofTechnology,whereheisalsoAssociateProfessor.Hisresearchinterestsincludemathematicalandstatistical methods for signal processing, functional and harmonic analysis, andcomputational modeling of the human visual system. His recent work focuses onspatially adaptive (anisotropic, nonlocal) algorithms for the restoration andenhancementof digital images, onnoisemodeling for imagingdevices, andon theoptimaldesignofstatisticaltransformationsforthestabilization,normalization,andanalysisofrandomdata.He isaSeniorMemberoftheIEEE,MemberoftheImage,Video, and Multidimensional Signal Processing Technical Committee of the IEEESignalProcessingSociety,andanAssociateEditorfortheIEEETransactionsonImageProcessingandforthenewIEEETransactionsonComputationalImaging.


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Keynote3

Wednesday-October07th–10:30hto12:00h

UsingComputerVisionwithdronesinAgricultureLúcioAndrédeCastroJorge,Ph.D.

EMBRAPA-EmpresaBrasileiradePesquisaAgropecuária.SãoCarlos,Brasil.

http://lattes.cnpq.br/3036476562950521

Abstract: The use of drones in agriculture increase the use of advanced sensors toevaluate the development of different crops providing additional agriculturalknowledgetodealwiththevariabilityinthefieldinordertocontributetoincreasedcrop yields. The technological development of remote sensing techniques usingdronesorUAVs,havebeenimprovingthecropmanagementwithgreaterspatialandtemporalresolution.Therefore,themainchallengeinthisareaisthedevelopmentofmethodsofprocessingimagesquicklyandaccuratelyworkingwithlargevolumesofmultidimensional and temporal data. However, despite the enormous potential ofthisremotesensing,theirimplementationinpracticeisverylimited.Thisworkwillbepresented the state of the art at all stages, from image acquisition, processing,segmentation,classificationamongothersforapplicationsinagriculture.


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Short Bio: Degree in Electrical Engineering - Electronics andElectrical Engineering at the School of Barretos Engineering(1987); Master's degree in Computational Mathematics andComputer Science at Institute of Mathematics and ComputerSciencesattheUniversityofSãoPaulo,ICMC-USP(2001);PhDinSignal Processing and Instrumentation from the School of

Engineering, University of São Paulo, SEL-EESC-USP (2011); LatoSensu in imageprocessing from the University of Campinas - Unicamp (1990); LatoSensu inGeografical InformationSystems fromtheFederalUniversityofSãoCarlos -UFSCar(2005); Researcher at Embrapa Instrumentation since 1990; Professor of ImageProcessing, Computer Graphics and Artificial Intelligence at UNISEB- Colleges COCsince2006.Experience inComputerScience,workingonthedevelopmentof imageprocessingsoftware,embeddedsystems,mobiledevices(PDAs),patternrecognitionand intelligence computing, computer graphics and geo-referenced systems.Experience applied in several projects in Agriculture, Precision Agriculture, GIS,agricultural monitoring, remote sensing, study of roots, leaves, plant diseases anddeficiencies,developmentofUAV(unmannedaerialvehicle)foragriculturaluse.


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OralSession1

Monday-October05th-14:00hto15:40hChair:AdilsonGonzagaCo-Chair:MarcoA.Piteri

PatternRecognition

1 14h00-14h20MakinganImageWorthaThousandVisualWords-GlaucoVitorPedrosa,USP;AgmaTraina,ICMC/USP;

2 14h20-14h40A Study of Filtering Approaches for Sliding WindowPedestrian Detection - Artur Correia, UFMG; Victor HugoMelo,UFMG;WilliamSchwartz,UFMG;

3 14h40-15h00

A Bipartite Graph Model Approach For DiscriminantFeatures Evaluation - Pamela Iupi Peixinho, CentroUniversitário da FEI; Paulo Silva Rodrigues, CentroUniversitário da FEI; Guilherme Wachs Lopes, CentroUniversitáriodaFEI;

4 15h00-15h20LocalMappedPatternforSpoofFingerprintDetection–InêsBoaventura, UNESP; Maurilio Boaventura, UNESP; RodrigoContreras,UNESP;

5 15h20-15h40

Multi-scale Local Mapped Pattern for Image TextureAnalysis - Maurilio Boaventura, UNESP; Rodrigo Contreras,UNESP;InêsBoaventura,UNESP;

THISPRESENTATIONWASMOVEDTOORALSESSION4

5 15h20-15h40

Detection and Classification of the Periorbital Wrinkles in2D Images - Daniel Costa, UFBA; Angelo Duarte, UEFS;Deborah Duarte, Clínica Deborah Duarte; Leizer Schnitman,UFBA;


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OralSession2

Tuesday-October06th-08:20hto10:00hChair:MarceloA.C.VieiraCo-Chair:MaurílioBoaventura

FilteringandRestoration

1 08h20-08h40

Filtering Poisson Noise in Digital Breast TomosynthesisUsing an Interactive Non-Local Means Scheme Based onStochastic Distances - Andre Bindilatti, UFSCar; MarceloVieira, USP; Predrag Bakic, UPENN; Andrew Maidment,UPENN;NelsonMascarenhas,UFSCar;

2 08h40-09h00Using SSIM as Convergence Criteria in a VariationalSuperresolution Bayesian Approach - Thais Nascimento,UFES;EvandroSalles,UFES;

3 09h00-09h20A New Prior for Inverse Problems Based Demosaicking -RomárioKeitiFugita,UTFPR;MarceloVictorZibetti, ;DanielPipa;

4 09h20-09h40Evolving Convolutional Kernels Using EvolutionaryComputing - José Augusto Stuchi, CPqD; Marcus Angeloni,CPqD;MateusCarniatto;BrunoCereser;

5 09h40-10h00

Denoising Computed Tomography Projections UsingContextual FiltersWith Statistical Estimation from a Non-Local Approach on Anscombe Domain - Vinicius Assis,UNESP; Denis Salvadeo, UNESP; Nelson Mascarenhas,UFSCar;AlexandreLevada,UFSCar;


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OralSession3

Tuesday-October06th-14:00hto15:40hChair:MauricioCunhaEscarpinatiCo-Chair:EvandroLuisLinhariRodrigues

MedicalandBiomedicalApplications

1 14h00-14h20

Using the Non-local Means Algorithm to DenoiseMammogaphic Images Acquired with Reduced RadiationDose-PolyanaNunes,USP;AndreBindilatti,UFSCar;HelderOliveira, USP; Lucas Borges, USP; Predrag Bakic, UPENN;Andrew Maidment, UPENN; Nelson Mascarenhas, UFSCar;MarceloA.C.Vieira,USP;

2 14h20-14h40Graph Measures for Cell Tissue Classification - LetíciaOliveira,UFABC;FranciscoZampirolli,UFABC;

3 14h40-15h00GPU-Optimized Pulmonary Nodule Retrieval Based on 3DMarginSharpnessDescriptors-JoséFerreira,UFAl;MarceloOliveira,UFAl;

4 15h00-15h20

ProposalofLocalAutomaticWeighingAttributetoRetrieveSimilar Lung Cancer Nodules - David Jones Lucena, UFAl;Marcelo Oliveira UFAl; Aydano Pomponet, UFAl; JoséFerreira,UFAl;

5 15h20-15h40

AutomaticDetectionofLeukocytesfromIntravitalVideoMicroscopyusingthePhaseCongruencyTechnique-KathianiSouza,UFSCar;BrunoGregóriodaSilva,UFSCar;JulianaCarvalho-Tavares,UFMG;RicardoFerrari,UFSCar;


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OralSession4

Wednesday-October07th-08:20hto10:00hChair:AparecidoNilceuMaranaCo-Chair:InêsA.G.Boaventura

FeatureExtraction

1 08h20-08h40

Combining Wavelets and 2D Gabor Descriptors for IrisRecognition in Noncooperative Environments - SirlenePeixoto, UFOP; Pedro Silva, UFOP; Alvaro Guarda, UFOP;EduardoLuz,UFOP;DavidMenotti,UFOP;

2 08h40-09h00

TextureAnalysisUsingLocalFractalDimensionofComplexNetworks - Diogo Gonçalves, UFMS; Lucas Silva, UFMS;Reinaldo Felipe Araujo, UFMS; Bruno Machado, UFMS;WesleyGonçalves,UFMS–CPPP;

3 09h00-09h20

Detection and Classification of the Periorbital Wrinkles in2D Images - Daniel Costa, UFBA; Angelo Duarte, UEFS;Deborah Duarte, Clínica Deborah Duarte; Leizer Schnitman,UFBA;

THISPRESENTATIONWASMOVEDTOORALSESSION1

3 09h00-09h20Multi-scale Local Mapped Pattern for Image TextureAnalysis - Maurilio Boaventura, UNESP; Rodrigo Contreras,UNESP;InêsBoaventura,UNESP;

4 09h20-09h40Multimodal Discriminant Analysis of Biomarkers inAlzheimer’s Disease - Samantha Castro, FEI; LucianoSanchez;GeraldoBusattoFilho;CarlosThomaz,FEI;

5 09h40-10h00ColorTextureClassificationbyaLocalMultiscaleDescriptor-TamirisNegri,EESC/USP;AdilsonGonzaga,EESC/USP;


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OralSession5

Wednesday-October07th-14:00hto15:40hChair:MauricioMarengoniCo-Chair:LuizA.P.Neves

ApplicationsinComputerVision

1 14h00-14h20Automated Method for Determining Grid Lines UsingMAMA-CDM Phantom Images - Bruno Barufaldi, USP;HomeroSchiabel,USP;LeonardoBatista,UFPB;

2 14h20-14h40Shape Aligment Using ASM and SVM in Vehicle Images -Maria Aragão, UFS; Jovan Fernandes Junior, UFS; LeonardoMatos,UFS;

3 14h40-15h00Information Theoretic Approaches for Adaptive WaveletShrinkageinImageDenoising-AlexandreLevada,UFSCar;

4 15h00-15h20Omnidirectional Vision Architecture for Embedded RobotNavigationwithRaspberryPi-AndersonNascimento,UFBA;PauloFarias,UFBA;

5 15h20-15h40MaximumResponseFiltersandTextureTechniquesAppliedto Classification of Mammographic Breast Mass - DaniloFistarol,UFMS-CPPP;WesleyGonçalves,UFMS–CPPP;


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PosterSession1

Monday-October05th-15:40hto17:30hChair: MaximiliamLuppeCo-Chairs: AdilsonGonzaga MarceloA.C.Vieira MauricioCunhaEscarpinati AparecidoNilceuMarana MarcoA.Piteri

1. Analysis of Iris Texture Under Pupil Contraction/Dilation for BiometricRecognition-JonesSouza,USP;AdilsonGonzaga,USP;RaissaTavaresVieira,USP;

2. Unconstrained FaceRecognitionusingWeber LocalDescriptor and SVM -AlexAffonso,USP;EvandroRodrigues,EESC/USP;

3. ComparisonBetween IsotropicandAdaptivePoreDetectionMethods forFingerprint Recognition - Murilo Varges da Silva, UNESP/IFSP; João PauloLuiz,UNESP;MarcusAngeloni,CPqD;AlessandraPaulino,UNESP;AparecidoMarana,UNESP;

4. Wrist Veins TextureAnalysis for Biometric Systems - Vitor Barbedo, IFSP;JonesSouza,USP;

5. PerformanceEvaluationof3DTextureAttributesand3DMarginSharpnessintheRetrievalofLungNodulesSimilars - LucasLima,UFAL; JoséFerreiraJunior,UFAL;MarceloOliveira,UFAL;

6. Face Recognition with Uniform Local Binary Patterns - Luiz D Amore,Universidade Presbiteriana Mackenzie; Maurício Marengoni, UniversidadePresbiterianaMackenzie;

7. Patterns Detection in ECG Signal Applied to Biometric Recognition -Henrique Passos, USP; DanielMartins da Costa, USP; Sarajane Peres, USP;ClodoaldoLima,USP;

8. IrisRecognitionusingSupportVectorMachineandLeastSquaresSupportVector Machine: A Comparative Study - Daniel Martins da Costa, USP;HenriquePassos,USP;SarajanePeres,USP;ClodoaldoLima,USP;

9. ComparisonofCharacteristicsofDescriptorsfortheConstructionofDigitalImagesMosaic-DaviFernandes,IFSPBoituva;AndréTarallo,IFSPBoituva;


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10. Texture Analysis by Grouping Similar Vertices in Complex Networks -LeonardoScabini,UFMS;WesleyGonçalves,UFMS/CPPP;AmauryCastroJr,UFMS;

11. Improving Image Classification Performance byDescriptor Size ReductionandBag-of-Features-CarolinaFerraz,USP;AdilsonGonzaga,USP;

12. BrazilianLicensePlateCharacterRecognitionusingDeepLearning-SirlenePeixoto,UFOP;GabrielGonçalves,UFMG;GuillermoCámara-Chávez,UFOP;WilliamSchwartz,UFMG;DavidMenotti,UFOP;

13. Gabor Filter Parameter Optimization for Localization Step of PlateRecognitionSystem-OzgurAltun,ProlineBilisimSistemleri;FarukCanKaya,ProlineBilisimSistemleri;TuranMuratGuvenc,ProlineBilisimSistemleri;

14. EvaluationofTechnicalofImageEnhancementwithObjetivesMetricsandExecution Average Time - Jonas Rodrigues Vieira dos Santos, UFC; PauloCésarCortez;RodrigoFernandesFreitas;EdsonCavalcantiNeto;

15. Evaluation of Block-Matching 3D and Wavelet Transform with Shrink-Thresholding Technique for Digital Mammography Denoising - HelderOliveira, USP; Polyana Nunes, USP; Lucas Borges, USP; Predrag Bakic,UPENN;AndrewMaidment,UPENN;MarceloVieira,USP;

16. AnalysisoftheWisconsinBreastCancerDatasetandMachineLearningforBreastCancerDetection-LucasBorges,USP;

17. Analysis of the Influence of Distance Metrics on the Semi-supervisedAlgorithm of Particle Competition and Cooperation - Lucas Guerreiro,UNESP;FabrícioBreve,UNESP

18. Preprocessing Images to Improve Deep Neural Networks Classification -Horst Erdmann, Boolabs; Fernando Ito, UFSCar; Danilo Santos, Boolabs;DanielTakabayashi,Boolabs;JanderMoreira,UFSCar;

19. Parallelization of the Particle Competition and CooperationApproach forSemi-SupervisedLearning-RaulSouza,UNESP;FabrícioBreve,UNESP;

20. System for Corneal Ulcer Analysis - Luciana Almansa, DCM/USP; SidneySousa,FFCLRP/USP;Jean-JacquesDeGroote,Estácio;

21. Information Portal to Support Research in Bone Age Estimation - AndréSilva; Celso Olivete, FCT/UNESP; Rogério Garcia, FCT/UNESP; RonaldoMessiasCorreia,FCT/UNESP;

THISPRESENTATIONWASMOVEDTOPOSTERSESSION2


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22. Implementation and Research of Parallel Computing Algorithms for theCharacterizationofMedicalImages-MatheuSantos,UESC;PedroOliveira,UESC;MarceloHonda,UESC;

23. Automatic Translation of Brazilian Sign Language (LIBRAS) with HiddenMarkovModels(HMM):Usingsamplesofdeaf,interpretersandastudentofLIBRAS-DiegoDias,UFSCar;EdnaldoPizollato,UFSCar;

24. Radial Search Algorithm: A Gesture Recognition Algorithm to Real-timeSystems-VirgilioLima,UEFS;JoãoGertrudes,UEFS;

25. Supervised Traffic Signs Recognition in Digital Images using InterestPoints- Matheus Gutoski, UDESC; Chidambaram Chidambaram, UDESC;GilmáriodosSantos,UDESC;

26. ApplicationofanApproachBasedonToleranceNearSetsinMangoColorDetection-DiegoSaqui,UFSCAR;JoséSaito,UFSCAR;LucioJorge,Embrapa;RodrigoPiassi;

27. FishSpeciesRecognitionusingTemplateMatchingandLocalDescriptors -GercinaSilva, INOVISAO/UCDB;UelitonFreitas,UFMS;RafaelTelles,UCDB;HemersonPistori,UCDB;

28. An Automatic Methodology for Face Shape Identification on Images -MagjeanderSilva,UFMG;EricksonNascimento,UFMG;


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PosterSession2

Tuesday-October06th-15:40hto17:30hChair: ValdirGrassiJr.Co-Chairs: MaurílioBoaventura

EvandroLuisLinhariRodriguesInêsA.G.BoaventuraLuizA.P.NevesMauricioMarengoni

1. Content-BasedImageRetrievalinMedicalImagestosupportaComputer-Aided Diagnosis - Ronaldo Costa, UFG; Elias Macena, INF/UFG; RogerioSalvini,INF/UFG;LeandroOliveira,INF/UFG;FátimaNunes,EACH/USP;

2. Automatic Identification of Trees from Aerial Images of the Internet toPrevent Failures in Power Distribution System - Ronaldo Costa, UFG;Heuber Lima, INF/UFG; Anderson Soares, INF/UFG; Gustavo Laureano,INF/UFG;

3. Automatic Correction of Multiple-Choice Tests on Android Devices -FranciscoZampirolli,UFABC;RodrigoChina,UFABC;RogérioNeves,UFABC;JoséGuilici-Gonzalez,UFABC;

4. Recognition of Vehicles Logos using SURF - Cristiano Macedo, UFSCAR;MarcioFernandes;

5. Aq-GaussianSpatialFiltering-CelsoGallão,FEI;PauloSilvaRodrigues,FEI;

6. IdentificationofFoliarSoybeanDiseasesusingLocalDescriptors - JonatanPatrickOruê,UFMS;WesleyGonçalves,UFMS/CPPP;WesleyEijiKanashiro,UFMS/FACOM; Rillian Diello Pires, UFMS/FACOM; Bruno Machado,UFMS/CPPP;MauroArruda,UFMS/CPPP;

7. RecognitionofSoybeanInsectPestsusingSURFandTemplateMatching -Diogo Soares, FACOM - UFMS; Gercina Silva, INOVISAO/UCDB; AriadneGonçalves,INOVISAO/UCDB;LucasTorres,UCDB;HemersonPistori,UCDB;

8. Comparison of Feature Spaces in Fruit Recognition - Marcela Nishida,UNESP;DaniloEler,UNESP;AlmirArtero,UNESP;MaurícioDias,UNESP;

9. Comparison of Computer Techniques for Handwritten CharacterRecognition - Priscila Macanhã, UNESP; Danilo Eler, UNESP; Almir Artero,UNESP;


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10. Classification of Diaphorina citri intoMicroscopy Images - José LeonardoMelo, UEFS; Michele F. Angelo, DTEC-UEFS; Marcelo Miranda,FUNDECITRUS;

11. ALowCostEmbeddedSystemwithComputerVisionandVideoStreaming-AndréCurvello,USP;EvandroRodrigues,USP;ThiagoLima;

12. PDIExp: Web Platform for Direct Experimentation of Computer VisionMethods-LenonFachiano;CelsoOlivete;PedroReis,UNESP;RafaelSantos;RonaldoMessiasCorreia,FCT/UNESP;RogérioGarcia,FCT/UNESP;

13. AverageGrainSizeEstimationonMetallicMaterialsusingImageAnalysis-Diego Araujo, Federal University of Ouro Preto; Geraldo Faria, FederalUniversityofOuroPreto;GladstonMoreira,UFOP;DavidMenotti,UFOP;

14. Automatic Counting and Measuring Fish Oocytes from MicroscopicImages- Jonathan Ramos, USP; Carolina Watanabe, UNIR; Agma Traina,ICMC/USP;DiogoHungria,UNIR;TallesColaço,UNIR;CarolinaDória,UNIR;

15. InvestigatingColorModelsforCellularSegmentationofWhiteBloodCells-Thaína Tosta, UFU; Andrêssa de Abreu, UFU; Diogo Vilela, USP; LeandroNeves, USP; Bruno Travençolo, FACOM/UFU; Marcelo Zanchetta,FACOM/UFU;

16. Auto Feature Weight for Interactive Image Segmentation using ParticleCompetitionandCooperation-FabrícioBreve,UNESP;

17. Thermal Image Segmentation in Studies of Wildlife Animals - Mauro deArruda,UFMS;BrunoMachado,UFMS;WesleyGonçalves,UFMS/CPPP;JoãoHenriqueDias,CESP;LauryCullen,CESP;CristinaGarcia,CESP;JoseJr,USP;

18. Method Based in Corner and Edge Detection to Separate SoybeanSeedlingsStructures-DanielLima,USP;EvandroRodrigues,EESC/USP;LucioJorge,Embrapa;

19. Comparative Study on Otsu, EICAMM and Level Set Techniques toAutomatic Segmentation of Breast Lesions in Digital Mammography -KaremMarcomi,USP;HomeroSchiabel,USP;

20. Ship Segmentation in Sluice - Fagner Pimentel, UFBA; Michele Angelo,DTEC/UEFS;DiegoFrias,UNEB;

21. Illumination-invariant Image Segmentation for Robot Soccer - SávioCantero,UFMS;WesleyGonçalves,UFMS/CPPP;

22. Application of GaussianMarkov Random Fields in Citrus Segmentation -JoãoHerrera,Embrapa;LeandroCandido,Embrapa;LucioJorge,Embrapa;


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23. IndoorSimulationforControlofUnmannedAerialVehicles-RicardoVergiliFilho,UFABC;OswaldoFratiniFilho;FranciscoZampirolli,UFABC;

24. Visão Computacional Aplicada a Dispositivos Móveis para AutomaçãoRobótica-GuilhermeG.Moreira,SENAC;MarioL.P.Toledo,SENAC;FábioR.deMiranda,SENAC;

25. The Use of Computing Vision and Affective Computing in BuildingHumanoidRobots - LuizPereiraNeves,UFPR;ReginaldoSilveira,UniBrasil;Maria Costa, UFPR; Andreia Jesus, UFPR; Rafaela Otemaier, UFPR; JoséFeger,UFPR;

26. A Visual Attention Approach for the Tracking of Vehicles Through UAV -Raphael Montanari, USP; Daniel Tozadore, USP; Eduardo Fraccaroli, USP;AlcidesBenicasa,UFS;RoseliRomero,USP;

27. TrafficSignDetectionandRecognitionusing theAdaBoostandTransitionBetweenPixels -FranciscoSilva,UNOESTE; JoãoPauloMasiero,UNOESTE;DanilloPereira,UNOESTE;AlmirArtero,UNESP;MarcoPiteri,UNESP;

28. Vehicles Classification Using Optical Flow - Fernando Castro, UNOESTE;Francisco Silva, UNOESTE; Danillo Pereira, UNOESTE; Almir Artero, UNESP;MarcoPiteri,UNESP;

29. Identification andTrackingof PeopleUsingDigital ImagesCaptured fromVideoCameras-LucasManuel,UNOESTE;FranciscoSilva,UNOESTE;DanilloPereira,UNOESTE;AlmirArtero,UNESP;MarcoPiteri,UNESP;

30. Information Portal to Support Research in Bone Age Estimation - AndréSilva; Celso Olivete, FCT/UNESP; Rogério Garcia, FCT/UNESP; RonaldoMessiasCorreia,FCT/UNESP;


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UsefulPhoneNumbers

SEL/EESC/USP (16)3373-9371

CampusSecurityStaff (16)3373-9112

PoliceDept. 190

MedicalEmergency(SAMU) 192

FireDept.andRescue 193

MedicalEmergency(SantaCasa) (16)3509-1100

Taxi (16)3415-6005


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final program wvc2015 v2 - wvc2015.eesc.usp.brwvc2015.eesc.usp.br/final_program_wvc2015.pdf ·...

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