Research of Face Detection System Applied for Detecting Faces with Complex Background and Illumination

Author

Dai, Lei ; Li, Weijun ; Chen, Xu ; Jin, Xiaoxian ; Qu, Yanfeng

Author_Institution

Lab. of Artificial Neural Networks, Inst. of Semicond., Beijing

Volume

4

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

106

Lastpage

109

Abstract

An effective face detection system used for detecting multi-pose frontal face in gray images is presented. Image preprocessing approaches are applied to reduce the influence of the complex illumination. Eye-analog pairing and improved multiple related template matching are used to glancing and accurate face detecting, respectively. To shorten the time cost of detecting process, we employ prejudge rules in checking candidate image segments before template matching. Test by our own face database with complicated illumination and background, the system has high calculation speed and illumination independency, and obtains good experimental results.

Keywords

face recognition; image colour analysis; image matching; image segmentation; eye-analog pairing; face database; gray images; image segmentation; multipose frontal face detection; template matching; Artificial neural networks; Content addressable storage; Costs; Face detection; Fuzzy systems; Gray-scale; Image databases; Image segmentation; Layout; Lighting; eye-analog fragment; image preprocessing; mosaic rule; multiple related template block matching; prejudge;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Jinan Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.53

Filename

4666366