Machine learning for computer vision PDF
Preview Machine learning for computer vision
Studies in Computational Intelligence 411 Editor-in-Chief Prof.JanuszKacprzyk SystemsResearchInstitute PolishAcademyofSciences ul.Newelska6 01-447Warsaw Poland E-mail:kacprzyk@ibspan.waw.pl Forfurthervolumes: http://www.springer.com/series/7092 Roberto Cipolla, Sebastiano Battiato, and Giovanni Maria Farinella (Eds.) Machine Learning for Computer Vision ABC Editors Prof.RobertoCipolla Dr.GiovanniMariaFarinella DepartmentofEngineering DipartimentodiMatematicaedInformatica UniversityofCambridge UniversitàdiCatania Cambridge Catania UK Italy Prof.SebastianoBattiato DipartimentodiMatematicaedInformatica UniversitàdiCatania Catania Italy ISSN1860-949X e-ISSN1860-9503 ISBN978-3-642-28660-5 e-ISBN978-3-642-28661-2 DOI10.1007/978-3-642-28661-2 SpringerHeidelbergNewYorkDordrechtLondon LibraryofCongressControlNumber:2012933083 (cid:2)c Springer-VerlagBerlinHeidelberg2013 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped.Exemptedfromthislegalreservationarebriefexcerptsinconnection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. 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Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) Preface Computer vision is the science and technologyof making machines that see. It is concernedwiththetheory,designandimplementationofalgorithmsthatcanauto- maticallyprocessvisualdatatorecognizeobjects,trackandrecovertheirshapeand spatiallayout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover boththeoreticalandpracticalaspectsofrealComputerVisionproblems.Theschool isorganizedeveryyearbyUniversityofCambridge(ComputerVisionandRobotics Group)andUniversityofCatania(ImageProcessingLab).Differenttopicsarecov- ered each year. A summary of the past Computer Vision Summer Schools can be foundat:http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during recent editions of the school and covering some of the keytopicsof machinelearningforcomputervision.The chaptersprovidebothan in-depthoverviewofchallengingareasandkeyreferencestotheexistingliterature. The book starts with two chapters devoted to introducing the reader to the excit- ingfieldsofMachineLearningandComputerVision.InChapter1theproblemof producingtrulyintelligentmachinesisdiscussedandthe“neuromorphic”approach isintroduced.Chapter2introducesthenotionofvisualinformationanditsrelevant propertiesusefultoaccomplishvisualinferencetasks.Chapter3reviewsalgorithms torapidlysearchimagesorvideosinlargecollections,whereasChapter4discusses theproblemofobjectrecognitionandintroducesgenerativemodelsabletotakeinto accounttransformationsofgeometryandreflectance.Chapter5describesamethod to quickly and accurately predict 3D positions of body joints from a single depth image. Chapter 6 describes a fast vote-based approach for 3D shape recognition andregistration.Chapter7introducesnovelmulti-classifierboostingalgorithmsfor object detection,tracking and segmentationtasks, whereas in Chapter 8 the prob- lem of tracking objects using multiple cameras is described together with related VI Preface algorithms.Finally,Chapter9completethebookbypresentingavisionsystemfor thechallengingtaskofautonomousdrivingvehicles. It is our hope that graduate students, young and senior researchers, and aca- demic/industrialprofessionals will find the book useful for understandingand re- viewingcurrentapproachesinComputerVision,therebycontinuingthemissionof theInternationalComputerVisionSummerSchool. Sicily,January2012 RobertoCipolla SebastianoBattiato GiovanniMariaFarinella Acknowledgements Wewouldliketotakethisopportunitytothankallcontributorsofthisbook,andall peopleinvolvedintheorganizationofICVSS. List of Contributors RyanP.Adams UniversityofToronto 10King’sCollegeRoad,Toronto,ON,M5S3G4,CA e-mail:radams@psi.toronto.edu AndrewBlake MicrosoftResearch, 7J.J.ThomsonAve,CB30FB,Cambridge,UK e-mail:ablake@microsoft.com AlbertoBroggi VisLab.it-ArtificialVisionandIntelligentSystemsLab DipartimentodiIngegneriadell’Informazione UniversityofParma ParcoAreadelleScienze181A,I-43100Parma,IT e-mail:broggi@vislab.it StefanoCattani VisLab.it-ArtificialVisionandIntelligentSystemsLab DipartimentodiIngegneriadell’Informazione UniversityofParma ParcoAreadelleScienze181A,I-43100Parma,IT e-mail:cattani@vislab.it AndreaCavallaro SchoolofElectronicEngineeringandComputerScience QueenMaryUniversityofLondon MileEndRoad,LondonE14NS,UK e-mail:andrea.cavallaro@elec.qmul.ac.uk X ListofContributors JeroenC.Chua UniversityofToronto 10King’sCollegeRoad,Toronto,ON,M5S3G4,CA e-mail:jeroen@psi.toronto.edu RobertoCipolla DepartmentofEngineering UniversityofCambridge CB21PZ,CambridgeUK e-mail:cipolla@eng.cam.ac.uk MatCook MicrosoftResearch, 7J.J.ThomsonAve,CB30FB,Cambridge,UK RobFergus DeptartmentofComputerScience NewYorkUniversity 715Broadway,NewYork,NY10003,USA e-mail:fergus@cs.nyu.edu MarkFinocchio MicrosoftResearch, 7J.J.ThomsonAve,CB30FB,Cambridge,UK AndrewFitzgibbon MicrosoftResearch, 7J.J.ThomsonAve,CB30FB,Cambridge,UK e-mail:awf@microsoft.com BrendanJ.Frey UniversityofToronto 10King’sCollegeRoad,Toronto,ON,M5S3G4,CA e-mail:frey@psi.toronto.edu RiccardoGherardi ComputerVisionGroup ToshibaResearchCambridgeLtd 208CambridgeSciencePark,CambridgeCB40GZ,UK e-mail:riccardo.gherardi@crl.toshiba.co.uk InmarE.Givoni UniversityofToronto 10King’sCollegeRoad,Toronto,ON,M5S3G4,CA e-mail:inmar@psi.toronto.edu ListofContributors XI KristenGrauman DeptartmentofComputerScience UniversityofTexasatAustin 1616Guadalupe,Suite2.408Austin,TX78701,USA e-mail:grauman@cs.utexas.edu AlexKipman MicrosoftResearch, 7J.J.ThomsonAve,CB30FB,Cambridge,UK Tae-KyunKim DepartmentofElectricalandElectronicEngineering ImperialCollege,London SouthKensingtonCampus,LondonSW72AZ,UK e-mail:tk.kim@imperial.ac.uk JoelZ.Leibo McGovernInstituteforBrainResearch MassachusettsInstituteofTechnology 43VassarStreet,Cambridge,Massachusetts,USA e-mail:jzleibo@mit.edu AtsutoMaki ComputerVisionGroup ToshibaResearchCambridgeLtd 208CambridgeSciencePark,CambridgeCB40GZ,UK e-mail:atsuto.maki@crl.toshiba.co.uk PaoloMedici VisLab.it-ArtificialVisionandIntelligentSystemsLab DipartimentodiIngegneriadell’Informazione UniversityofParma ParcoAreadelleScienze181A,I-43100Parma,IT e-mail:medici@vislab.it RichardMoore MicrosoftResearch, 7J.J.ThomsonAve,CB30FB,Cambridge,UK FrankPerbet ComputerVisionGroup ToshibaResearchCambridgeLtd 208CambridgeSciencePark,CambridgeCB40GZ,UK e-mail:frank.perbet@crl.toshiba.co.uk
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