Face Detection Based on AdaBoost and Skin Color
Yan Hou, Qingsong Peng · 2009
Face detection in computer vision and pattern recognition technology as an important Subject has high academic value and commercial value. Studies the face detection based on Adaboost algorithm, and presents a face detection method based on skin color and Adaboost algorithm. First transforms the input color images form RGB space to YCrCb space, then uses morphologic methods to make area skin segmentation, at last uses Adaboost arithmetic to detect the face in the possible area and gets the face position. The experiments show that this method has high accuracy and robustness, can get satisfied detect results.