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.
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;
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
DOI :
10.1109/ICME.2006.262840