Kalman filtering for robust identification of face images with varying expressions and lighting conditions

被引：0

作者：

Eidenberger, Horst ^{[1
]}

机构：

[1] Vienna Tech Univ, Interact Media Syst Grp, A-1040 Vienna, Austria

来源：

18th International Conference on Pattern Recognition, Vol 3, Proceedings | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a novel algorithm for the identification of faces from image samples. The algorithm uses the Kalman filter to identify significant face features. We employ the Kalmanfaces approach on a database of face images that show a variety of different expressions and were recorded under varying lighting conditions. Kalmanfaces show robustness against distortion and outperform the classic Eigenfaces approach in terms of identification performance and algorithm speed.

引用

页码：1073 / 1076

页数：4