DocumentCode :
457004
Title :
Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features
Author :
Bauckhage, Christian ; Käster, Thomas
Author_Institution :
Deutsche Telekom Labs., Berlin
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
507
Lastpage :
510
Abstract :
This paper brings together two recent developments in image analysis. We consider a new mathematical framework that provides illumination invariant descriptors for face detection. Towards fast learning and processing, we understand images and the corresponding feature maps as multilinear entities and apply higher order classifiers for image analysis and object detection. Experimental results underline that this approach indeed provides quick training, fast runtime and robust performance across a variety of illumination conditions
Keywords :
face recognition; image classification; object detection; curvature features; illumination insensitive face detection; image analysis; object detection; Computer vision; Face detection; Image analysis; Laboratories; Layout; Lighting; Mathematical model; Object detection; Robustness; Runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.551
Filename :
1698942
Link To Document :
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