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Aiming at the human face detection in color images under complex background, a face detection method based on the combination of skin color model in YCgCr and AdaBoost algorithm is proposed in this article. Firstly, it uses skin color model in YCgCr color space to detect candidate face region in the tested image, and then further verifies the face region by the Adaboost algorithm with the added new...
This paper presents a novel method to search face candidate regions in color images. First, a skin-color model is used to get the skin regions. Then, particle swarm optimization (PSO) is utilized for searching face candidate regions, which can save time and eliminate small noises. Experimental results show that this searching method is super to the conventional method which scans the whole image pixel...
In this paper we propose a probabilistic model for the local features technique which provides a methodology to improve this approach. On the other hand, a method for compensating the color variability in images is adapted for the local feature model. Finally, an experimental study is made in order to evaluate the performance of the local features approach on challenging situations such as partially...
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