Image Disparity Estimation through Type-based Stereo Matching

Gye-young Kim; SeokWoo Jang

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 : Computer Science

Gye-young Kim ¹ , SeokWoo Jang ²

¹ 숭실대학교
² 한국건설기술연구원

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.
KEYWORDS

영상 변이(image disparity) , 스테레오 정합(stereo matching) , 변이도(disparity map) , 분할된 영역(segmented region)
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KCI Citation (1)

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