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    STUDIA INFORMATICA - Issue no. 1 / 2014  

Authors:  ALINA MIRON.
  Abstract:   In this paper we propose two extensions to the Disparity Voting scheme for local stereo matching algorithms, that improve the quality of the disparity map. These extensions are based on two separate hypothesis on the disparity map: the real disparity value of a pixel is found close to the disparity value that gives the minimum matching cost and the real disparity value of a pixel is not always the one given by the minimum cost, but nevertheless is found among one of the minimum matching costs. These techniques are compared on a real road scene dataset (KITTI) against the classical Disparity Voting and Winner-Takes-All strategy.

2010 Mathematics Subject Classi fication. 68T45.1998 CR Categories and Descriptors. I.2.10 [ARTIFICIAL INTELLIGENCE]: Vision and Scene Understanding - 3D/stereo scene analysis; I.4.8 [IMAGE PROCESSING AND COMPUTER VISION]: Scene Analysis - Stereo.

Key words and phrases. stereo vision, disparity re finement, road scene analysis.
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