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2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)
Regression-based Hand Pose Estimation from Multiple Cameras
New York, NY
June 17-June 22
ISBN: 0-7695-2597-0
Teofilo E. de Campos, University of Oxford, UK
David W. Murray, University of Oxford, UK
The RVM-based learning method for whole body pose estimation proposed by Agarwal and Triggs is adapted to hand pose recovery. To help overcome the difficulties presented by the greater degree of self-occlusion and the wider range of poses exhibited in hand imagery, the adaptation proposes a method for combining multiple views. Comparisons of performance using single versus multiple views are reported for both synthesized and real imagery, and the effects of the number of image measurements and the number of training samples on performance are explored.
Citation:
Teofilo E. de Campos, David W. Murray, "Regression-based Hand Pose Estimation from Multiple Cameras," cvpr, vol. 1, pp.782-789, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006
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