New stereo matching algorithm

Yasser A. Ahmed, Hossam Afifi, Gerardo Rubino · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999

This paper present a new algorithm for stereo matching. The main idea is to decompose the original problem into independent hierarchical and more elementary problems that can be solved faster without any complicated mathematics using BBD. To achieve that, we use a new image feature called 'continuity feature' instead of classical noise. This feature can be extracted from any kind of images by a simple process and without using a searching technique. A new matching technique is proposed to match the continuity feature. The new algorithm resolves the main disadvantages of feature based stereo matching algorithms.

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