Title :
A novel method of face detection based on fusing YCbCr and HIS color space
Author :
Zhang, Xue-Wu ; Liang, Ling-Yan ; Duan, Dun-Qin ; Xia, Wei-Liang
Author_Institution :
Comput. & Inf. Inst., Hohai Univ., Changzhou, China
Abstract :
A face detection method for the color image with complex background is presented, which is a mixed skin-color segmentation model in both YCbCr and HIS color space constructed; The mixed skin-color segmentation model can be used to segment of possible skin regions in the original image. After skin-color segmentation, the geometrical shape information of face and the maximum of the complexity of eyes in faces can be used to detect face´s position accurately. Experimental results show that the proposed approach can effectively prevent the side effects on the image caused by light condition, reduce the undetected rate, increase the speed of the face detection. Compared with other methods, this method has a very good result.
Keywords :
computational geometry; face recognition; image colour analysis; image fusion; image segmentation; skin; HIS color space; YCbCr color space; color image; face detection method; geometrical shape information; image fusion; mixed skin-color segmentation model; Brightness; Chromium; Color; Eyes; Face detection; Humans; Image segmentation; Lighting; Shape; Skin; HIS; YCbCr; complexity of images; face detection; feature 1ocation;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262807