计算机工程与应用2011，Vol.47Issue(30)：210-214,223,6.DOI:10.3778/j.issn.1002-8331.2011.30.057
利用多颜色信息融合的自适应肤色建模
Adaptive skin color modeling based on color information fusion
摘要
Abstract
Due to different illumination,skin color and racial factors in practical world,normally it is hard to establish a general skin model to detect all the bare skin.In this paper,an adaptive skin modeling method is studied,I.e.,faces are detected by means of AdaBoost algorithm, and skin modeling is performed by using these detected face regions.In order to achieve good modeling performance, the detected face regions are properly reduced, and a special information fusion technology "AND" operation is used in multiple color spaces.This algorithm does not need to consider illumination, skin color and racial factors, and is an adaptive skin modeling method.Experiment shows that this method can effectively solve most of skin detection problems in color images.关键词
AdaBoost算法/自适应肤色建模/多颜色空间/肤色概率图/信息融合Key words
AdaBoost algorithm/adaptive skin color modeling/multiple color space/skin probability map/information fusion分类
信息技术与安全科学引用本文复制引用
王真,李金屏,刘林,韩延彬..利用多颜色信息融合的自适应肤色建模[J].计算机工程与应用,2011,47(30):210-214,223,6.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60873089) （the National Natural Science Foundation of China under Grant No.60873089）
山东省研究生教育创新计划(No.SDYY08032) （No.SDYY08032）
山东省教育科学规划课题重点项目(No.2008ZK0007). （No.2008ZK0007）
