Title :
An unsupervised face detection based on skin color and geometric information
Author :
Guan, Yepeng ; Yang, Lin
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ.
Abstract :
A robust algorithm is proposed for face detection in a complex scene in which parts of some faces are overlapped one another, some faces are posed differently, and image contains many different patterns. The algorithm starts from extraction of skin pixels and then segments facial regions overlapping into several separate ones. The divided region is determined whether it contains a face or not by geometric relationship between the extracted lip and eye components. Lip segmentation is proposed based on wavelet multi-scale edge detection across discrete Hartley transform. Eyes are determined with the help of cues of the extracted lip components. Comparative study with some existing face detection algorithms has indicated the superior performance of the developed algorithm from experimental results
Keywords :
discrete Hartley transforms; edge detection; face recognition; feature extraction; image colour analysis; image segmentation; wavelet transforms; discrete Hartley transform; facial region segmentation; geometric information; robust algorithm; skin color information; skin pixel extraction; unsupervised face detection; wavelet multiscale edge detection; Color; Data mining; Discrete wavelet transforms; Eyes; Face detection; Facial features; Humans; Image edge detection; Image segmentation; Skin; extraction; face detection; geometric information; skin;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.253845
