Title :
Robust detection of facial features by generalized symmetry
Author :
Reisfeld, Daniel ; Yeshurun, Yehezkel
Author_Institution :
Dept. of Comput. Sci., Tel Aviv Univ., Israel
fDate :
30 Aug-3 Sep 1992
Abstract :
Locating facial features is crucial for various face recognition schemes. The authors suggest a robust facial feature detector based on a generalized symmetry interest operator. No special tuning is required if the face occupies 15-60% of the image. The operator was tested on a large face data base with a success rate of over 95%
Keywords :
computer vision; computerised pattern recognition; face data base; face recognition schemes; facial features; generalized symmetry; interest operator; robust facial feature detector; Computer science; Computer vision; Eyes; Face detection; Face recognition; Facial features; Humans; Mouth; Robustness; Testing;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201521
