Title: A Novel Approach of Face Detection Based on Double Skin Models and AdaBoost Algorithm
Abstract: A novel face detection approach based on double skin models and AdaBoost algorithm is proposed in this paper. The image segemention of skin regions is firstly got with a fixed threshold skin model in YCbCr color space. The image segemention result is used for optimizing the parameters of Gaussian skin color model which is used for the image segmentation of the skin regions secondly. The logical operations are computed with the twice results of skin segmentation and then the coarse position of candidate face regions are got by morphological processing. Finally, the accurate face regions are acquired combined with Adaboost algorithm. The experimental results indicate that this face detection method can restrain the false number better on the premise that a proper detection rate should be kept and has better robustness.
Publication Year: 2014
Publication Date: 2014-06-10
Language: en
Type: article
Indexed In: ['crossref']
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