본문 바로가기
  • Home

Image Disparity Estimation through Type-based Stereo Matching

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(2), pp.83-92
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Gye-young Kim 1 SeokWoo Jang 2

1숭실대학교
2한국건설기술연구원

Candidate

ABSTRACT

This paper describes an image disparity estimation method using region-based stereo matching. Region-based disparity estimation yields a disparity map as the unit of segmented region. However, it estimates disparity imprecisely because it not only has matching errors but also applies an identical way to disparity estimation, which does not consider each type of matched regions. To solve this problem, we proposes a disparity estimation method which considers the type of matched regions. That is, the proposed method classifies whole matched regions into a similar-matched region, a dissimilar-matched region, a false-matched region and a miss-matched region. We then performs proper disparity estimation for each type of matched regions. This method minimizes the error in estimating disparity which is caused by inaccurate matching and also improves the accuracy of disparity of the well-matched regions. The experimental results show the improved accuracy of the proposed method.

Citation status

* References for papers published after 2023 are currently being built.