By Topic

An efficient multimodal face recognition method robust to pose variation

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

4 Author(s)
Ali Cheraghian ; Dept. Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran ; Karim Faez ; Hamidreza Dastmalchi ; Farhad Bagher Oskuie

In the recent years, face recognition has obtained much attention. Using combined 2D and 3D face recognition is an alternative method to deal with face recognition. A novel multimodal face recognition algorithm based on Gabor wavelet information is presented in this paper. The Principal Component Analysis (PCA) and the Linear Discriminant analysis (LDA) have been used for size reduction. The system has combined 2D and 3D systems in the decision level which presents higher performance in contrast with methods which use only 2D and 3D systems, separately. The proposed algorithm is examined with FRAV3D database that has faces with pose variation and 95% performance that is achieved in rank-one for fusion experiment.

Published in:

Computers & Informatics (ISCI), 2011 IEEE Symposium on

Date of Conference:

20-23 March 2011