Human Face Detection Based on Cluster Skin Color Model

在安全检测、人机交互等人脸识别应用中,人脸的检测与定位是前期重要工作.该文提出一种改进的基于亮度聚类的肤色模型,并提出一种新的最佳阈值选择算法,设计了肤色检测算法流程.实验证明该算法提高了人脸检测的速度和鲁棒性.Human face localization and detection is often the first step in applications such as video surveillance and human-computer interface.In this paper,a skin color model based on cluster and a novel selection method of best limitvalue is presented.An algorithmic flow for human face skin color detection is proposed.Examples are given to show the improved detection speed of the proposed algorithm and its robustness.国家自然科学基金资助项目(60605012