Computer Vision:Models, Learning, and Inference

Computer Vision:Models, Learning, and Inference
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作者:
2012-05
版次: 1
ISBN: 9781107011793
定价: 1170.10
装帧: 精装
开本: 其他
纸张: 其他
页数: 600页
正文语种: 英语
4人买过
  • Thismoderntreatmentofcomputervisionfocusesonlearningandinferenceinprobabilisticmodelsasaunifyingtheme.Itshowshowtousetrainingdatatolearntherelationshipsbetweentheobservedimagedataandtheaspectsoftheworldthatwewishtoestimate,suchasthe3Dstructureortheobjectclass,andhowtoexploittheserelationshipstomakenewinferencesabouttheworldfromnewimagedata.Withminimalprerequisites,thebookstartsfromthebasicsofprobabilityandmodelfittingandworksuptorealexamplesthatthereadercanimplementandmodifytobuildusefulvisionsystems.Primarilymeantforadvancedundergraduateandgraduatestudents,thedetailedmethodologicalpresentationwillalsobeusefulforpractitionersofcomputervision.?Coverscutting-edgetechniques,includinggraphcuts,machinelearning,andmultipleviewgeometry.?Aunifiedapproachshowsthecommonbasisforsolutionsofimportantcomputervisionproblems,suchascameracalibration,facerecognition,andobjecttracking.?Morethan70algorithmsaredescribedinsufficientdetailtoimplement.?Morethan350full-colorillustrationsamplifythetext.?Thetreatmentisself-contained,includingallofthebackgroundmathematics.?Additionalresourcesatwww.computervisionmodels.com. Dr.SimonJ.D.PrinceisafacultymemberintheDepartmentofComputerScienceatUniversityCollegeLondon.Hehastaughtcoursesonmachinevision,imageprocessing,andadvancedmathematicalmethods.Hehasadiversebackgroundinbiologicalandcomputingsciencesandhaspublishedpapersacrossthefieldsofcomputervision,biometrics,psychology,physiology,medicalimaging,computergraphics,andHCI.
  • 内容简介:
    Thismoderntreatmentofcomputervisionfocusesonlearningandinferenceinprobabilisticmodelsasaunifyingtheme.Itshowshowtousetrainingdatatolearntherelationshipsbetweentheobservedimagedataandtheaspectsoftheworldthatwewishtoestimate,suchasthe3Dstructureortheobjectclass,andhowtoexploittheserelationshipstomakenewinferencesabouttheworldfromnewimagedata.Withminimalprerequisites,thebookstartsfromthebasicsofprobabilityandmodelfittingandworksuptorealexamplesthatthereadercanimplementandmodifytobuildusefulvisionsystems.Primarilymeantforadvancedundergraduateandgraduatestudents,thedetailedmethodologicalpresentationwillalsobeusefulforpractitionersofcomputervision.?Coverscutting-edgetechniques,includinggraphcuts,machinelearning,andmultipleviewgeometry.?Aunifiedapproachshowsthecommonbasisforsolutionsofimportantcomputervisionproblems,suchascameracalibration,facerecognition,andobjecttracking.?Morethan70algorithmsaredescribedinsufficientdetailtoimplement.?Morethan350full-colorillustrationsamplifythetext.?Thetreatmentisself-contained,includingallofthebackgroundmathematics.?Additionalresourcesatwww.computervisionmodels.com.
  • 作者简介:
    Dr.SimonJ.D.PrinceisafacultymemberintheDepartmentofComputerScienceatUniversityCollegeLondon.Hehastaughtcoursesonmachinevision,imageprocessing,andadvancedmathematicalmethods.Hehasadiversebackgroundinbiologicalandcomputingsciencesandhaspublishedpapersacrossthefieldsofcomputervision,biometrics,psychology,physiology,medicalimaging,computergraphics,andHCI.
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