NDLI: Multi-view Appearance-based 3D Hand Pose Estimation

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Automatic Image Quality Assessment with Application in Biometrics

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Multi-view Appearance-based 3D Hand Pose Estimation

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1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

Multi-view Appearance-based 3D Hand Pose Estimation

Content Provider	IEEE Xplore Digital Library
Author	Haiying Guan Jae Sik Chang Longbin Chen Feris, R.S. Turk, M.
Copyright Year	2006
Description	Author affiliation: University of California, Santa Barbara, CA, USA (Haiying Guan)
Abstract	We describe a novel approach to appearance-based hand pose estimation which relies on multiple cameras to improve accuracy and resolve ambiguities caused by selfocclusions. Rather than estimating 3D geometry as most previous multi-view imaging systems, our approach uses multiple views to extend current exemplar-based methods that estimate hand pose by matching a probe image with a large discrete set of labeled hand pose images. We formulate the problem in a MAP (maximum a posteriori) framework, where the information from multiple cameras is fused to provide reliable hand pose estimation. Our quantitative experimental results show that correct estimation rate is much higher using our multi-view approach than using a single-view approach.
Starting Page	154
Ending Page	154
File Size	438684
Page Count	1
File Format	PDF
ISBN	0769526462
DOI	10.1109/CVPRW.2006.137
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Geometry Computer displays Cellular phones Cameras Feature extraction Three dimensional displays Large-scale systems Probes Personal digital assistants
Content Type	Text
Resource Type	Article

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