Reconstruction of 3D human body pose from stereo image sequences based on top-down learning

Author:

Yang Hee-Deok,Lee Seong-Whan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference25 articles.

1. R. Rosales, S. Sclaroff, Specialized mapping and the estimation of human body pose from a single image, Proceedings of IEEE Workshop on Human Motion, TX, USA, December 2000, pp. 19–24.

2. Recognition by linear combinations of models;Ullman;IEEE Trans. Pattern Anal. Mach. Intell.,1991

3. A. Agarwal, B. Triggs, 3D human pose from silhouette by relevance vector regression, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington DC, USA, July 2004, pp. 882–888.

4. Non-linear statistical models for 3D reconstruction of human pose and motion from monocular image sequences;Bowden;Image Vision Comput.,2000

5. M. Brand, Shadow puppetry, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Kerkyra, Greece, 1999, pp. 1237–2344.

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