Bilateral Symmetry Averaging and Simple Regression Analysis for Robust Face Detection Against Illumination Variation

조명 변화에 강인한 얼굴 검출을 위한 좌우대칭 평균화와 단순회귀분석 보정기법

  • 조치영 (부산외국어대학교 전자컴퓨터공학과) ;
  • 김수환 (부산외국어대학교 컴퓨터공학부)
  • Published : 2006.12.28

Abstract

In a face detection system based on template matching, histogram equalization or log transform is applied to an input image for the intensity normalization and the image improvement. It is known that they are noneffective in improving an image with intensity distortion by illumination variation. In this paper, we propose an efficient image improvement method using a simple regression analysis combined with a bilateral symmetry average for images with intensity distortion by illumination variation. Experimental results show that our method delivers the detection performance better than previous methods and also remarkably reduces the number of face candidates.

Keywords

Face Detection;Simple Regression Analysis;Bilateral Symmetry Averaging