A thesis submitted to the University of London for the degree of Doctor of Philosoph

Li, Yongmin

English

Queen Mary Research Online

Dynamic Face Models: Construction and ApplicationsLi, Yongmin       For additional information about this publication click this link.http://qmro.qmul.ac.uk/jspui/handle/123456789/4747   Information about this research object was correct at the time of download; we occasionallymake corrections to records, please therefore check the published record when citing. Formore information contact scholarlycommunications@qmul.ac.ukDynamic Face Models: Construction and ApplicationsYongmin Li Department of Computer ScienceResearch Report No. RR-02-04   ISSN 1470-5559   February 2002 ObjectTrajectoryModelTrajectoriesDynamic FaceRecognitionSynthesisID Surfaceand Model FittingPose EstimationFace Detection, PatternsFaceFeatureExtractionFeaturesDiscriminatingHead Poseand Model FittingPose EstimationFace Detection, PatternsFaceFeatureExtractionFeaturesDiscriminatingHead PoseConstructionTrajectoryID SurfacesSubject IDInputVideoInputVideoRegistrationRuntime RecognitionAttentionSelectiveEstimationMotion BackgroundSubtractionSkin ColourDetectionPose EstimationFace DetectionInterestRegions ofand Pose of FacesPosition, ScaleFittingModelMulti!viewFace ModelFaceDetectorsEstimatorsPoseFace PatternsPreviousInputVideo Face Patterns!1 !0.8 !0.6 !0.4 !0.2 0 0.2 0.4 0.6 0.8 1!1!0.8!0.6!0.4!0.200.20.40.60.81PCA1PCA20 2 4 6 8 10 12 14 16 18 20 2201002003004005006007008009001000tolerance coefficientnumber of SVsSV number of the tilt estimator0 2 4 6 8 10 12 14 16 18 20 2201002003004005006007008009001000tolerance coefficientnumber of SVsSV number of the yaw estimator0 2 4 6 8 10 12 14 16 18 20 2202468101214161820tolerance coefficienterror (degree)Test error in yaw0 2 4 6 8 10 12 14 16 18 20 2202468101214161820tolerance coefficienterror (degree)Test error in tilt0 2 4 6 8 10 12 14 16 18 20 220123456tolerance coefficienttime (sec)Test time in tilt0 2 4 6 8 10 12 14 16 18 20 220123456tolerance coefficienttime (sec)Test time in yaw0 5 10 15 20 25 30 35 40 45 50 55050100150200250300350400450500dimensionnumber of SVsSV number of the tilt estimator0 5 10 15 20 25 30 35 40 45 50 55050100150200250300350400450500dimensionnumber of SVsSV number of the yaw estimator0 5 10 15 20 25 30 35 40 45 50 5502468101214161820dimensionerror (degree)Test error in yaw0 5 10 15 20 25 30 35 40 45 50 5502468101214161820dimensionerror (degree)Test error in tilt0 5 10 15 20 25 30 35 40 45 50 5500.511.522.53dimensiontime (sec)Test time in tilt0 5 10 15 20 25 30 35 40 45 50 5500.511.522.53dimensiontime (sec)Test time in yaw0 5 10 15 20 25 30707580859095100GaussianLinearPolynomial 1Polynomial 2False Positive Rate (%)True Positive Rate (%)!6 !4 !2 0 2 4 60102030405060708090100True Positive Rate !" False Positive RateError Rate !ThresholdRate(%)0 20 40 60 80 100 120 140 160012345678frametime (sec)0 20 40 60 80 100 120 140 160012345678frametime (sec)0 20 40 60 80 100 120 140 160012345678frametime (sec)0 20 40 60 80 100 120 140 160!15!10!5051015frameerror in X (pixel)0 20 40 60 80 100 120 140 160!15!10!5051015frameerror in X (pixel)0 20 40 60 80 100 120 140 160!15!10!5051015frameerror in X (pixel)0 20 40 60 80 100 120 140 160!15!10!5051015frameerror in Y (pixel)0 20 40 60 80 100 120 140 160!15!10!5051015frameerror in Y (pixel)0 20 40 60 80 100 120 140 160!15!10!5051015frameerror in Y (pixel)0 20 40 60 80 100!0.5!0.4!0.3!0.2!0.100.10.20.30.40.5FrameModel ParametersxC1 C2discriminating boundary0 5 10 15 20 25 30 35 40 45 50!1!0.8!0.6!0.4!0.200.20.40.60.81 x 104numberPCA1!6000 !4000 !2000 0 2000 4000 6000 8000!2500!2000!1500!1000!5000500100015002000PCA1PCA20 5 10 15 20 25 30 35 40 45 50!0.1!0.08!0.06!0.04!0.0200.020.040.060.080.1numberKDA1!0.1 !0.08 !0.06 !0.04 !0.02 0 0.02 0.04 0.06 0.08 0.1!0.1!0.0500.050.10.15KDA1KDA20 1 2 3 4 5 6 7 8 9 10 1100.050.10.150.20.25dimensionnormalised distancePCA KPCALDA KDA 0 1 2 3 4 5 6 7 8 9 10 115060708090100dimensionaccuracy(%)PCA KPCALDA KDA !40 !30!20 !100 1020 3040!20!1001020!0.25!0.2!0.15!0.1!0.05yawtiltKDA1!40 !30!20 !100 1020 3040!20!1001020!0.05!0.04!0.03!0.02!0.010yawtiltKDA2!40 !30!20 !100 1020 3040!20!1001020!0.0200.020.040.06yawtiltKDA3!40 !30!20 !100 1020 3040!20!1001020!0.25!0.2!0.15!0.1!0.05yawtiltKDA1!40 !30!20 !100 1020 3040!20!1001020!0.05!0.04!0.03!0.02!0.010yawtiltKDA2!40 !30!20 !100 1020 3040!20!1001020!0.0200.020.040.06yawtiltKDA30 10 20 30 40 50 60 70 80 90 100!60!40!200204060FramePose0 10 20 30 40 50 60 70 80 90 100!0.25!0.2!0.15!0.1!0.0500.050.10.150.20.25FrameKDA10 10 20 30 40 50 60 70 80 90 10000.020.040.060.080.10.120.140.160.180.2FramePattern Distance0 10 20 30 40 50 60 70 80 90 10000.20.40.60.811.21.41.61.8FrameTrajectory Distance0 5 10 15 20 25 30 35 40 45 50!60!40!200204060FramePose0 5 10 15 20 25 30 35 40 45 50!0.3!0.2!0.100.10.20.30.40.5FrameKDA10 5 10 15 20 25 30 35 40 45 5000.020.040.060.080.10.120.140.16FramePattern Distance0 5 10 15 20 25 30 35 40 45 5000.20.40.60.811.21.41.61.8FrameTrajectory Distance

Dynamic Face Models: Construction and Applications

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