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ID:55057321
大小:2.50 MB
页数:51页
时间:2020-05-08
《伊利诺伊州立大学计算机视觉PPT第23章.pdf》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、04/10/12ObjectCategoryDetection:SlidingWindowsComputerVisionCS543/ECE549UniversityofIllinoisDerekHoiemToday’sclass:ObjectCategoryDetection•Overviewofobjectcategorydetection•Statisticaltemplatematchingwithslidingwindowdetector–Dalal-Triggspedestriandetector–
2、Viola-JonesfacedetectorObjectCategoryDetection•Focusonobjectsearch:“Whereisit?”•BuildtemplatesthatquicklydifferentiateobjectpatchfrombackgroundpatchDogModelObjectorNon-Object?ChallengesinmodelingtheobjectclassIlluminationObjectposeClutterOcclusionsIntra-cla
3、ssViewpointappearanceSlidefromK.Grauman,B.LeibeChallengesinmodelingthenon-objectclassTrueDetectionsBadConfusedwithLocalizationSimilarObjectConfusedwithMisc.BackgroundDissimilarObjectsGeneralProcessofObjectRecognitionWhataretheobjectSpecifyObjectModelparamet
4、ers?GenerateHypothesesScoreHypothesesResolveDetectionsSpecifyinganobjectmodel1.StatisticalTemplateinBoundingBox–Objectissome(x,y,w,h)inimage–FeaturesdefinedwrtboundingboxcoordinatesImageTemplateVisualizationImagesfromFelzenszwalbSpecifyinganobjectmodel2.Art
5、iculatedpartsmodel–Objectisconfigurationofparts–EachpartisdetectableImagesfromFelzenszwalbSpecifyinganobjectmodel3.Hybridtemplate/partsmodelDetectionsTemplateVisualizationFelzenszwalbetal.2008Specifyinganobjectmodel4.3D-ishmodel•Objectiscollectionof3Dplanar
6、patchesunderaffinetransformationGeneralProcessofObjectRecognitionSpecifyObjectModelProposeanalignmentoftheGenerateHypothesesmodeltotheimageScoreHypothesesResolveDetectionsGeneratinghypotheses1.Slidingwindow–TestpatchateachlocationandscaleGeneratinghypothese
7、s1.Slidingwindow–TestpatchateachlocationandscaleGeneratinghypotheses2.Votingfrompatches/keypointsMatchedCodebookProbabilisticInterestPointsEntriesVotingysx3DVotingSpace(continuous)ISMmodelbyLeibeetal.Generatinghypotheses3.Region-basedproposalEndresHoiem2010
8、GeneralProcessofObjectRecognitionSpecifyObjectModelGenerateHypothesesMainly-gradientbasedfeatures,usuallybasedonScoreHypothesessummaryrepresentation,manyclassifiersResolveDetectionsGeneralProcessofObje
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