A region-based randomized voting scheme for stereo matching

Authors:
Guillaume Gales;Alain Crouzil;Sylvie Chambon
Affiliations:
IRIT, Institut de Recherche en Informatique de Toulouse, France;IRIT, Institut de Recherche en Informatique de Toulouse, France;LCPC, Laboratoire Central de Ponts et Chaussées, Nantes, France
Venue:
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Year:
2010

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Abstract

This paper presents a region-based stereo matching algorithm which uses a new method to select the final disparity: a random process computes for each pixel different approximations of its disparity relying on a surface model with different image segmentations and each found disparity gets a vote. At last, the final disparity is selected by estimating the mode of a density function built from these votes. We also advise how to choose the different parameters. Finally, an evaluation shows that the proposed method is efficient even at sub-pixel accuracy and is competitive with the state of the art.