NDLI: Stereo based gesture recognition invariant to 3D pose and lighting

Content Provider	IEEE Xplore Digital Library
Author	Grzeszcuk, R. Bradski, G. Chu, M.H. Bouguet, J.-Y.
Copyright Year	2000
Description	Author affiliation: Microprocessor Res. Lab., Intel Corp., Santa Clara, CA, USA (Grzeszcuk, R.)
Abstract	This paper describes a stereo-based approach for gesture recognition that works well under extreme lighting conditions and tolerates a large range of hand poses. The approach proposes a hybrid gesture representation that models the user's arm as a 3D line and uses images to represent the hand gestures. The algorithm finds the arm orientation and the hand location from the disparity data and uses this information to initialize a color based segmentation algorithm that cleanly separates the hand from the background. Finally, our approach uses the arm orientation to compute a frontal view of the hand through perspective unwarping producing easily recognizable hand gesture templates. The classification algorithm uses statistical moments of the binarized gesture templates to find the match. We achieve 96% recognition rates under varying lighting and 3D poses for a set of 6 gestures.
Starting Page	826
Ending Page	833
File Size	11108492
Page Count	8
File Format	PDF
ISBN	0769506623
ISSN	10636919
DOI	10.1109/CVPR.2000.855906
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-06-15
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Humans Robustness Image recognition Microprocessors System testing Character recognition Image converters Pixel Topology
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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