An Appearance Based Fast Linear Pose Estimation

MVA 2009 : IAPR Conference on Machine Vision Applications, Slides ; Place : Tokyo, Japan ; Date : May 20-22, 2009

[1]  Hiroshi Murase,et al.  Moving object recognition in eigenspace representation: gait analysis and lip reading , 1996, Pattern Recognit. Lett..

[2]  Toru Tamaki.  Linear 3-D Object Pose Estimation with Dense Sample Images -Discussions about Limitation of Parameter Estimation Ability by the Linear Regressions- , 2009, MVA.

[3]  Toshiyuki Amano.  Image interpolation by high dimensional projection based on subspace method , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[4]  Seiji Inokuchi,et al.  OBJECT SEARCH AND POSE DETECTION BASED ON EIGENSPACE APPROACH , 2000 .

[5]  Thomas A. Funkhouser,et al.  The Princeton Shape Benchmark (Figures 1 and 2) , 2004, Shape Modeling International Conference.

[6]  Sameer A. Nene,et al.  Columbia Object Image Library (COIL100) , 1996 .

[7]  Takayuki Okatani,et al.  Yet Another Appearance-Based Method for Pose Estimation Based on a linear Model , 2000, MVA.

[8]  Koichiro Deguchi,et al.  Visual servoing using eigenspace method and dynamic calculation of interaction matrices , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[9]  Hiroshi Murase,et al.  Illumination Planning for Object Recognition Using Parametric Eigenspaces , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Thomas A. Funkhouser,et al.  The Princeton Shape Benchmark , 2004, Proceedings Shape Modeling Applications, 2004..

[11]  S. Shankar Sastry,et al.  An Invitation to 3-D Vision , 2004 .