Face Detection Based on AdaBoost and Skin Color

摘要：

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.

关键词： face detection Adaboost skin segmentation color information

作者: Yan HOU Qingsong PENG

作者单位: School of Information Engineering Shanghai Maritime University Shanghai 200135, China

会议类型: 国际会议

会议名称: Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 407-410

在线出版日期: 2009-12-26（万方平台首次上网日期，不代表论文的发表时间）