This work presents an evolutionary approach to improve the infection algorithm to solve the problem of dense stereo matching. Dense stereo matching is used for 3D reconstruction in stereo vision in order to achieve fine texture detail about a scene. The algorithm presented in this paper incorporates two different epidemic automata applied to the correspondence of two images. These two epidemic ...

A small baseline stereo matching method based on maximum like estimation is proposed. Firstly, the mixed window strategy is used to determine the matching window for each point in the reference image. Secondly, the normalized cross correlation function is employed to compute matching cost for possible matching points in the disparity range, then the “winner-take all” strategy is utilized to com...

In this paper, the challenge of fast stereo matching for embedded systems is tackled. Limited resources, e.g. memory and processing power, and most importantly real-time capability on embedded systems for robotic applications, do not permit the use of most sophisticated stereo matching approaches. The strengths and weaknesses of different matching approaches have been analyzed and a well-suited...