By Topic

3D Hand pose modeling from uncalibrate monocular images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Theeraphat Sajjawiso ; Faculty of Engineering, Department of Computer Engineering, Chulalongkorn University ; Pizzanu Kanongchaiyos

Hand pose modeling is one of the most challenging research areas in Computer Animation due to the difficulty of hand model, which consist of more than 20 degrees of freedom and require the construction of a large high-dimensional database of poses. In this paper, we propose a method of 3D hand pose modeling based on a new set of constraints and optimization framework to reduce the ambignity between 2D joint location and 3D hand poses. Our method does not need prior knowledge of the bone length and camera parameters. Furthermore, a large high-dimension database used for searching is not needed to be constructed. An experiment was performed on the real data set captured from a webcam. the results shows that the proposed set of constraints are sufficient to reconstruct the hand poses with desirable accuracy.

Published in:

Computer Science and Software Engineering (JCSSE), 2011 Eighth International Joint Conference on

Date of Conference:

11-13 May 2011