DocumentCode
2957584
Title
An Improved Approach to the Line-Based Face Recognition
Author
Ming, Anlong ; Ma, Huadong
Author_Institution
Beijing Key Lab. of Intelligent Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun.
fYear
2006
fDate
9-12 July 2006
Firstpage
1553
Lastpage
1556
Abstract
The line-based face recognition method is distinguished by its features, but its development and application is limited to some inherent drawbacks. This paper propose a method for decreasing the influence under variable illumination intensity by using the line-based singular value (LSV) feature vector instead of image gray-level value to calculate "distance" between two lines. We prove that our method is invariant to the illumination intensity. Finally, we suggest a distributed computing algorithm using grid computing to solve the multi-scale computation. Experimental results show our approach is effective
Keywords
face recognition; feature extraction; grid computing; LSV feature vector; distributed computing algorithm; face recognition method; grid computing; line-based singular value; Distributed computing; Face detection; Face recognition; Grid computing; Image segmentation; Laboratories; Lattices; Lighting; Pixel; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location
Toronto, Ont.
Print_ISBN
1-4244-0366-7
Electronic_ISBN
1-4244-0367-7
Type
conf
DOI
10.1109/ICME.2006.262840
Filename
4036909
Link To Document