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.

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.

zhangdi于2010-03-09批量导入

Made available in DSpace on 2010-03-09T07:08:20Z (GMT). No. of bitstreams: 1 317.pdf: 307288 bytes, checksum: e1ac79a06c12abaee7a6e231adc53a36 (MD5) Previous issue date: 2008

Changsha Univ Sci & Technol.; Cent S Univ.; Hunan Univ Sci & Technol.; IEEE Comp Soc.

[Mo Huayi; Li Weijun; Lai Jiangliang; Dai Lei] Chinese Acad Sci, Inst Semicond, Lab Artificial Neural Networks, Beijing 100083, Peoples R China

Changsha Univ Sci & Technol.; Cent S Univ.; Hunan Univ Sci & Technol.; IEEE Comp Soc.