DocumentCode
2344627
Title
Simplified Adaptive Smoothing Filter for Face Recognition
Author
Xu, Chengzhe ; Kim, Intaek
Author_Institution
Dept. of Med. Eng., Yonsei Univ., Seoul, South Korea
fYear
2011
fDate
15-19 April 2011
Firstpage
341
Lastpage
344
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CSO.2011.241
Filename
5957675
Link To Document