Title :
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
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;
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
DOI :
10.1109/FSKD.2008.53
