DocumentCode
1654795
Title
A new facial key features location algorithm in color images
Author
Quanyou, Zhao ; Baochang, Pan ; Shenglin, Zheng ; Jian, Liang
Author_Institution
Dept. of Comput. & Inf. Sci., Hunan Univ. of Sci. & Eng., Yongzhou
fYear
2008
Firstpage
932
Lastpage
936
Abstract
Facial feature accurately location is the critical step in face recognition. A new facial key features location algorithm in color images by the color information of facial features is presented. Since the RGB three components of eyes region are very close, the sum of RGB three components difference is calculated as eye feature. Then the eye center points are located by priori information. Combining redness with the sum of RGB three components difference, the whole mouth is effectively extracted to locate the mouth center. Experimental result on four databases with 5649 images indicates the proposed method is insensitive to the variant expression and pose, and the feature location accuracy rate is 95.52%.
Keywords
face recognition; image colour analysis; RGB three components; color images; face recognition; facial key features location algorithm; priori information; Color; Data mining; Eyes; Face detection; Face recognition; Facial features; Image databases; Lighting; Lips; Mouth;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2178-7
Electronic_ISBN
978-1-4244-2179-4
Type
conf
DOI
10.1109/ICOSP.2008.4697280
Filename
4697280
Link To Document