Object Recognition by Pyramid Matching of Color Cooccurrence Histogram

컬러 동시발생 히스토그램의 피라미드 매칭에 의한 물체 인식

  • 방희범 (한양대학교 전자컴퓨터통신공학과) ;
  • 이상훈 (한양대학교 BK21 수요지향적 정보기술 전문인력 양성 사업단) ;
  • 서일홍 (한양대학교 전자컴퓨터통신공학과) ;
  • 박명관 (동양대학교 IT전자공학부) ;
  • 김성훈 (한양대학교 전자컴퓨터통신공학과) ;
  • 홍석규 (한양대학교 전자컴퓨터통신공학과)
  • Published : 2007.04.27

Abstract

Methods of Object recognition from camera image are to compare features of color. edge or pattern with model in a general way. SIFT(scale-invariant feature transform) has good performance but that has high complexity of computation. Using simple color histogram has low complexity. but low performance. In this paper we represent a model as a color cooccurrence histogram. and we improve performance using pyramid matching. The color cooccurrence histogram keeps track of the number of pairs of certain colored pixels that occur at certain separation distances in image space. The color cooccurrence histogram adds geometric information to the normal color histogram. We suggest object recognition by pyramid matching of color cooccurrence histogram.

Keywords