Research of Face Location System Based on Human Vision Simulations
In this paper we present a robust face location system based on human vision simulations to automatically locate faces in color static images. Our method is divided into four stages. In the first stage we use a gauss low-pass filter to remove the fine information of images, which is useless in the initial stage of human vision. During the second and the third stages, our technique approximately detects the image regions, which may contain faces. During the fourth stage, the existence of faces in the selected regions is verified. Having combined the advantages of Bottom Up Feature Based Methods and Appearance-Based Methods, our algorithm performs well in various images, including those with highly complex backgrounds.
face location human vision low-pass filter image segmentation region selecting and merging
Mo Huayi Li Weijun Lai Jiangliang Dai Lei
Lab of Artificial Neural Networks, Institute of Semiconductors, CAS, Beijing 100083, China
国际会议
长沙
英文
1461-1465
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）