DocumentCode :
2429718
Title :
Face recognition by feature orientation and feature geometry matching
Author :
Su, Ching-Liang ; Lursinsap, Chidchanok
Author_Institution :
Dept. of Inf. Manage., Oversea Chinese Coll. of Commerce, Taichung, Taiwan
Volume :
3
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
401
Abstract :
In this face recognition research, the eyebrows, eyes, nostrils, lips, and face contour are extracted separately. The shape, size, object-to-object distances, centroid, and orientation are found for each object. The techniques to solve the object shifting and rotating problems are investigated. Image subtraction is used to examine the geometric differences of the two different faces. The obtained classifying data in this research can accurately classify different people´s faces
Keywords :
face recognition; feature extraction; geometry; image recognition; centroid; eyebrows; eyes; face contour; face recognition; feature geometry matching; feature orientation; geometric differences; image subtraction; lips; nostrils; object-to-object distances; orientation; Change detection algorithms; Educational institutions; Eyebrows; Eyes; Face detection; Face recognition; Geometry; Mouth; Nose; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546978
Filename :
546978
Link To Document :
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