A hand-pose estimation for vision-based human interfaces
Ueda, E.
Matsumoto, Y.
Imai, M.
Ogasawara, T.
Robotics Lab., Nara Inst. of Sci. & Technol., Japan;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Aug. 2003
Volume: 50,
Issue: 4
On page(s): 676- 684
ISSN: 0278-0046
INSPEC Accession Number: 7708546
Digital Object Identifier: 10.1109/TIE.2003.814758
Current Version Published: 2003-07-28
Abstract
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.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
