EUSIPCO 2010, 18th European Signal Processing Conference, August 23-27, 2010, Aalborg, Denmark
Face occlusion is a very challenging problem in face recognition. The performance of face recognition system can decrease drastically due to the presence of partial occlusion on the face. One approach to overcome this problem is to first pre-classify faces into two classes: the clean face and the occluded face; then faces in different classes are treated by different recognition systems. In this case an algorithm which is able to automatically detect the presence of occlusions on the face will be an useful tool to increase the performances of the system. In this paper we present a scarf detection algorithm. In the experimental results the performances of the algorithm are reported and compared with state of the art systems
Type:
Conference
City:
Aalborg
Date:
2010-08-23
Department:
Digital Security
Eurecom Ref:
3135
Copyright:
© EURASIP. Personal use of this material is permitted. The definitive version of this paper was published in EUSIPCO 2010, 18th European Signal Processing Conference, August 23-27, 2010, Aalborg, Denmark and is available at :
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