DocumentCode
1934023
Title
Comparative study of invariant descriptors for face recognition
Author
Hemery, B. ; Rosenberger, C. ; Toinard, C. ; Emile, B.
Author_Institution
Lab. d´´Informatique Fondamentale d´´Orleans
Volume
2
fYear
2006
fDate
16-20 2006
Abstract
We present in this paper a comparative study of invariant descriptors for face recognition. Despite of their multiple advantages (pose and scale invariant characterization), few methods from the state of the art exploit this kind of features. A support vector machine is used for the training and recognition steps. Experimental results show the efficiency of such descriptors on the AR face database. With the proposed method, face recognition is correctly achieved in 97.4% cases
Keywords
face recognition; support vector machines; AR face database; face recognition; pose invariant characterization; scale invariant characterization; support vector machine; Access control; Biometrics; Face recognition; Image recognition; Legged locomotion; Object recognition; Robot vision systems; Robustness; Spatial databases; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345723
Filename
4129015
Link To Document