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
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;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.906229