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Proceedings Paper

3D hand localization by low-cost webcams
Author(s): Cheng-Yuan Ko; Chung-Te Li; Chen-Han Chung; Liang-Gee Chen
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Paper Abstract

In recent years, depth sensors, such as Kinect provides new opportunities for Human-Computer Interaction (HCI). However, for more universalization of depth sensors in consumer electronics, the cost of the sensors should be considered. In this paper, we proposed an algorithm for 3D hand localization by two commodity low cost webcams. Because of the noise produced by the low cost webcams, the depth quality is not very good. Ac-cording to the poor quality depth map, our algorithm can still to do the 3D hand localization. The proposed algorithm can provides 3D hand localization information for applications, such as interactive 3DTV.

Paper Details

Date Published: 12 March 2013
PDF: 6 pages
Proc. SPIE 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013, 86500W (12 March 2013); doi: 10.1117/12.2003115
Show Author Affiliations
Cheng-Yuan Ko, National Taiwan Univ. (Taiwan)
Chung-Te Li, National Taiwan Univ. (Taiwan)
Chen-Han Chung, National Taiwan Univ. (Taiwan)
Liang-Gee Chen, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 8650:
Three-Dimensional Image Processing (3DIP) and Applications 2013
Atilla M. Baskurt; Robert Sitnik, Editor(s)

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