From Contours to 3D Object Detection and Pose Estimation

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Matching Formulation min X,F,T min X,F,T tr C T (X)F + ||TQF T P || tr+⇥||(TQF C T (X)F T + P ) ||TQF (TQF T T P || P )W T || +⇥||(TQF T P ) (TQF T P )W T || s.t. X [0, 1] N ; T T ; Wednesday, November 30, 11 26
Matching Formulation min X,F,T min X,F,T tr C T (X)F + ||TQF T P || tr+⇥||(TQF C T (X)F T + P ) ||TQF (TQF T T P || P )W T || +⇥||(TQF T P ) (TQF T P )W T || s.t. X F [0, 0; 1] F N T ; 1T N = T 1; M ; F 1 M apple 1 N 27 Wednesday, November 30, 11
Page 1 and 2: From Contours to 3D Object Detectio
Page 3 and 4: Prior Work Generative models e.g.,
Page 5 and 6: To Bridge the Semantic Gap... Recen
Page 7 and 8: To Bridge the Semantic Gap... Recen
Page 9 and 10: Bags of Boundaries = BoBs shape con
Page 11 and 12: Approach input contour extraction Z
Page 13 and 14: Approach input contour extraction o
Page 15 and 16: Approach input selected boundaries
Page 17 and 18: Object Model = Shape Templates 2D p
Page 19 and 20: Example Shape Templates AUTOCAD dat
Page 21 and 22: Inference = Matching of BoBs Wednes
Page 23 and 24: Inference = Matching of BoBs under
Page 25: Matching Formulation min X,F,T min
Page 29 and 30: Results: Object Detection PASCAL VO
Page 31 and 32: Results: 3D Pose Estimation Correct
Page 33: Conclusion • Recent work: • Pre

From Contours to 3D Object Detection and Pose Estimation

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