Independent Component Analysis and Support Vector Machine for Face Feature Extraction

We propose Independent Component Analysis representation and Support Vector Machine classification to extract facial features in a face detection/localization context. The goal is to find a better space where project the data in order to build ten different face-feature classifiers that are robust to illumination variations and bad environment conditions. The method was tested on the BANCA database, in different scenarios: controlled conditions, degraded conditions and adverse conditions.


Published in:
4th International Conference on Audio- and Video-Based Biometric Person Authentication, Guildford, UK, 2688, 111-118
Year:
2003
Publisher:
Berlin, IEEE
Keywords:
Other identifiers:
Laboratories:




 Record created 2006-06-14, last modified 2018-03-17

n/a:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)