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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 대한전자공학회 ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications ITC-CSCC : 2008
- 발행연도
- 2008.7
- 수록면
- 753 - 756 (4page)
이용수
초록· 키워드
오류제보하기
In this paper, we propose a new stereo matching method to reduce a memory size and handle an large image such as satellite images while its performance satisfies speed and accuracy. Our new method is based on a Multidirectional Greedy algorithm and RANSAC. First, we obtain a depth image along multi-directioanl scanlines using the Greedy algorithm. Then, we find reliable areas from the distribution of several depth images using RANSAC. Finally, we extend the reliable areas by iterating the Greedy algorithm and RANSAC several times starting with the previously obtained reliable areas and decide a final depth image. Experimental results show that our algorithm proves the possibility of stereo matching for an enormous image using low memory size while satisfying the performance from the view point of speed and accuracy.
목차
Abstract
1. Introduction
2. Overview of the proposed algorithm
3. Extraction of a disparity image using a multi-directional Greedy algorithm
4. Iterative extraction and expansion of the reliable area
5. Experimental results
6. Conclusion
Acknowledgment
References
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UCI(KEPA) : I410-ECN-0101-2013-569-001140400