DocumentCode :
3078775
Title :
Applying mixed gaussian skin models to the automatic face detection
Author :
Ren, Jianfeng ; Guo, Lei
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an
fYear :
2004
fDate :
Sept. 29 2004-Oct. 1 2004
Firstpage :
599
Lastpage :
608
Abstract :
How to detect faces in complex color images is still a challenging problem. We propose an automatic face detection algorithm which consists of five stages: mixed skin model, iterative threshold algorithm, morphological operation, region growing and shape and size restraint. Of these stages, the skin model that we established here is based on the mixed Gaussian distributions on two different color spaces, which achieves better results than other methods. Experimental results show that our algorithm can work very well in the color images which are frontal, side and tilted under varying conditions and complex backgrounds
Keywords :
Gaussian distribution; Gaussian processes; face recognition; image colour analysis; iterative methods; automatic face detection; complex color image; iterative threshold algorithm; mixed Gaussian distribution; mixed Gaussian skin model; morphological operation; region growing; Color; Face detection; Facial animation; Humans; Image coding; Image segmentation; Iterative algorithms; Morphological operations; Shape; Skin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning for Signal Processing, 2004. Proceedings of the 2004 14th IEEE Signal Processing Society Workshop
Conference_Location :
Sao Luis
ISSN :
1551-2541
Print_ISBN :
0-7803-8608-4
Type :
conf
DOI :
10.1109/MLSP.2004.1423023
Filename :
1423023
Link To Document :
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