A hand-pose estimation for vision-based human interfaces
Ueda, E.; Matsumoto, Y.; Imai, M.; Ogasawara, T.
Industrial Electronics, IEEE Transactions on
Volume 50, Issue 4, Aug. 2003 Page(s): 676 - 684
Digital Object Identifier   10.1109/TIE.2003.814758
Summary: This paper proposes a novel method for a hand-pose estimation that can be used for vision-based human interfaces. The aim of this method is to estimate all joint angles. In this method, the hand regions are extracted from multiple images obtained by a multiviewpoint camera system. By integrating these multiviewpoint silhouette images, a hand pose is reconstructed as a "voxel model." Then, all joint angles are estimated using a three-dimensional model fitting between the hand model and the voxel model. The following two experiments were performed: (1) an estimation of joint angles by the silhouette images from the hand-pose simulator and (2) hand-pose estimation using real hand images. The experimental results indicate the feasibility of the proposed algorithm for vision-based interfaces, although the algorithm requires faster implementation for real-time processing.

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