A Method of Eye Location Based on Image Complexity

Author

Zhu Xiajun

Author_Institution

Hang Zhou Inst. of Commerce, Zhejiang Gongshang Univ., Hangzhou, China

Volume

2

fYear

2009

fDate

4-5 July 2009

Firstpage

394

Lastpage

396

Abstract

Eye location in face recognition is widely used in machine vision. On the basis of the characteristic that the changes of the human eye grey scale are very obvious, the present article brings forward a new algorithm of eye location in face recognition. Firstly, we divide the searched area of eyes into small patches, and calculate the degree of image complexity of each small patch; then find the 16 patches with largest image complexity; lastly, locate eyes accurately according to the structural centralization degree of image patches. Compared with other methods, this algorithm has characteristics of accurate location and high arithmetic speed.

Keywords

eye; face recognition; image colour analysis; eye location; face recognition; human eye grey scale; image complexity; image patch; machine vision; structural centralization degree; Arithmetic; Business; Data mining; Eyes; Face recognition; Humans; Image segmentation; Machine vision; Statistical learning; Videophone systems; eye location; face recognition; image complexity;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3682-8

Type

conf

DOI

10.1109/ESIAT.2009.254

Filename

5199916