DocumentCode
1743061
Title
Human face detection using geometric triangle relationship
Author
Lin, Chiunhsiun ; Fan, Kuo-Chin
Author_Institution
Inst. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-Li, Taiwan
Volume
2
fYear
2000
fDate
2000
Firstpage
941
Abstract
The proposed system consists of two main parts: the first part is to search the potential face regions that are obtained from the triangles based on the rules of “the combination of two eyes and one mouth”; and the second part is to perform the face verification task. The proposed face detection system can locate multiple faces embedded in complicated backgrounds. Moreover, it is able to handle different sizes, different lighting conditions, varying poses and expressions, noises and defocus problems, and the problem of partial occlusion of mouth and sun glasses. Experimental results demonstrate that an approximately 98% success rate was achieved and the relative false detection rate is very low
Keywords
computational geometry; computer vision; face recognition; image matching; image segmentation; face recognition; face verification; geometric triangle; human face detection; image matching rule; image segmentation; isosceles triangle; weighting mask function; Computer science; Computer vision; Face detection; Face recognition; Gray-scale; Humans; Image converters; Mouth; Noise robustness; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.906229
Filename
906229
Link To Document