DocumentCode :
2150392
Title :
A fast 3D hand model reconstruction by stereo vision system
Author :
Sangi, Mehrdad ; Jahed, Mehran
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Volume :
5
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
545
Lastpage :
549
Abstract :
The use of human hand gestures as a natural interface tool has motivated researchers to conduct research in the modeling, analyzing and recognition of various hand movements. In particular, human computer intelligent interaction has been a focus for research in vision-based gesture recognition. In this work, we introduce a 3D hand model reconstruction method which offers flexible and elaborate representation of hand gestures. We used 20 landmarked points on tips and joints of the fingers and calculated the 3D coordinates of these points of through a stereo vision system. Our results show that such reconstruction provides a precise 3D hand model only to be influenced by intrinsic and extrinsic camera parameter estimation errors. As our proposed 3D reconstruction method requires only 20 points, it is rated among very fast algorithms suitable for real-time hand gesture recognition applications.
Keywords :
human computer interaction; image reconstruction; stereo image processing; 3D coordinates; 3D reconstruction; camera parameter estimation errors; fast 3D hand model reconstruction; human computer intelligent interaction; human hand gestures; natural interface tool; stereo vision system; vision-based gesture recognition; Cameras; Competitive intelligence; Computer vision; Fingers; Human computer interaction; Image reconstruction; Image segmentation; Parameter estimation; Reconstruction algorithms; Stereo vision; 3D hand model; Calibration; Segmentation; Stereo Vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451277
Filename :
5451277
Link To Document :
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