Title :
Simplified Adaptive Smoothing Filter for Face Recognition
Author :
Xu, Chengzhe ; Kim, Intaek
Author_Institution :
Dept. of Med. Eng., Yonsei Univ., Seoul, South Korea
Abstract :
This paper presents a new illumination normalization method for face recognition under various lighting conditions. While it results in similar performance as other optimal methods, through finding the discontinuity efficiently, simplified adaptive smoothing filter allows significant reduction in the computational time.
Keywords :
face recognition; filtering theory; computational time; face recognition; illumination normalization method; lighting conditions; optimal methods; simplified adaptive smoothing filter; Face; Face recognition; Lighting; Reflectivity; Smoothing methods; Speech recognition; Synthetic aperture sonar; Face Recognition; Illumination Normalization; Smoothing;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
DOI :
10.1109/CSO.2011.241
