Real-time Hand Pose Recognition Using Low-Resolution Depth Images

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	Similar Articles Articles by Zhenyao Mo Articles by Ulrich Neumann

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)

New York, NY

June 17-June 22

ISBN: 0-7695-2597-0

	ASCII Text	x
	Zhenyao Mo, Ulrich Neumann, "Real-time Hand Pose Recognition Using Low-Resolution Depth Images," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 2, pp. 1499-1505, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), 2006.

	BibTex	x
	@article{ 10.1109/CVPR.2006.237, author = {Zhenyao Mo and Ulrich Neumann}, title = {Real-time Hand Pose Recognition Using Low-Resolution Depth Images}, journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on}, volume = {2}, year = {2006}, issn = {1063-6919}, pages = {1499-1505}, doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.237}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on TI - Real-time Hand Pose Recognition Using Low-Resolution Depth Images SN - 1063-6919 SP1499 EP1505 A1 - Zhenyao Mo, A1 - Ulrich Neumann, PY - 2006 KW - null VL - 2 JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on ER -

Zhenyao Mo, University of Southern California

Ulrich Neumann, University of Southern California

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.237

Gesture recognition methods based on intensity or color images often suffer from low efficiency and lack of robustness. In this paper, we employ a new laser-based camera that produces reliable low-resolution depth images at video rates. By decomposing and recognizing hand poses as finger states (finger poses and finger inter-relations), we achieve robust hand pose recognition in real-time (30 frames/second).

Citation:

Zhenyao Mo, Ulrich Neumann, "Real-time Hand Pose Recognition Using Low-Resolution Depth Images," cvpr, vol. 2, pp.1499-1505, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), 2006

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