DocumentCode :
1901530
Title :
A Grid-based Face Recognition Approach Using General Template Matching
Author :
Ming, Anlong ; Ma, Huadong ; Zhang, Haiyang ; Xiong, Wei
Author_Institution :
Sch. of Comput. Sci. & Tech., Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2005
fDate :
27-29 Nov. 2005
Firstpage :
43
Lastpage :
43
Abstract :
Computing grids offer a very effective economic and scalable way to build high performance infrastructure. In this paper, we propose a grid-based face recognition approach using general template matching method to solve time-consuming face recognition problem. This approach is computationally efficient, has high recognition rates, and is able to handle large database problem by adopting grid computing.
Keywords :
database management systems; face recognition; grid computing; pattern matching; database; face recognition; general template matching; grid computing; Application software; Distributed computing; Face recognition; Grid computing; High performance computing; Image converters; Image databases; Image recognition; Pixel; Telecommunication computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grid, 2005. SKG '05. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2534-2
Electronic_ISBN :
0-7695-2534-2
Type :
conf
DOI :
10.1109/SKG.2005.12
Filename :
4125831
Link To Document :
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