By Topic

3D Face Recognition Based on Facial Profiles

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
$31 $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

4 Author(s)
Hengliang Tang ; Beijing Municipal Key Lab. of Multimedia & Intell. Software Technol., Beijing Univ. of Technol., Beijing, China ; Yanfeng Sun ; Baocai Yin ; Yun Ge

In this paper, a novel 3D face recognition algorithm based on facial profile information is presented, which needn't the training phase, and consumes little computation cost. We first extract and normalize the 3D face profiles, and then, the shape and texture information of the profiles are used to represent 3D faces. After that, three representations and the corresponding metric for facial profiles are proposed, the arc length metric (PL), the feature points' location metric (PFL) and the relative distance matrix metric (PFDM), to address the face recognition task. Finally, we test our algorithm based on facial profiles on BJUT-3D face database, and achieve the best performance of 97.1% for fusion experiment.

Published in:

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Date of Conference:

19-20 Dec. 2009