A Robust System of Face Detection and Precise Face Organ Location
Human face detection and face organ feature location are both important steps in automatic visual interpretation and human face recognition systems. In this paper, a robust system which focuses on human face detection and face organ location is introduced. We improve the cascade-structured classifier of the human face detector, and integrate human face superresolution algorithm into our system to help processing low-resolution faces. Template matching, feature space analysis method (PCA) combined with AdaBoost algorithm are used to get the precise location of eye feature, and the locations of other face organs are incorporated in the similar framework. The experimental results demonstrate that the proposed system has good performance on actual images.
Face Detection Cascade-structured classifier Face super-resolution Face organ location
Moshu Wu Guangda Su Jun Zhou
Department of Electronic Engineering Tsinghua Univ.Beijing, Chinal Department of Electronic Engineering Tsinghua Univ.Beijing, China
国际会议
哈尔滨
英文
4188-4191
2011-08-12(万方平台首次上网日期,不代表论文的发表时间)