By Topic

Robust face recognition based on motion pursuit

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)
Ruoyu Roy Wang ; Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA ; Huang, T. ; Stubler, P. ; Mehrotra, R.

Robust face recognition is an important research area that has a great impact in the field of surveillance and human-computer interactions in general. This paper addresses how the concept of motion pursuit can bridge the alignment information with imagery similarities to form a joint decision for the purpose of robust face recognition. More explicitly, we perform multi-scale correspondence matching in a wavelet domain and utilize a simple motion measure in conjunction with wavelet response matching to form a discriminative face similarity measure. We demonstrate the efficacy of the proposed approach with a large consumer image database of diverse image capture conditions.

Published in:

Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on  (Volume:2 )

Date of Conference: