Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2008
Session Number:B6
Session:
Number:B6-4
Multi-directional Greedy Stereo Matching
Seung-Hae Baek, Soon-Yong Park, Soon-Ki Jung, Sang-Hee Kim, Jeong-Hwan Kim,
pp.-
Publication Date:2008/7/7
Online ISSN:2188-5079
Summary:
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 Multi-directional 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