Iterative disparity estimation and image segmentation

Authors:
Marcos Alexandre Amador Medeiros;Luis Alberto Da Silva Cruz
Affiliations:
Universidade de Coimbra/DEEC, Instituto de Telecomunições - IT, Coimbra, Portugal;Universidade de Coimbra/DEEC, Instituto de Telecomunições - IT, Coimbra, Portugal
Venue:
ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision
Year:
2008

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Abstract

In multiview video analysis, disparity estimation and image segmentation are important tasks. This paper presents an iterative method that uses segmentation and disparity information in order to create a synthesized predictive video. The frames are initially segmented and the segments applied in a disparity estimation process. Following an error analysis is made searching for incorrect disparity values. The result disparity map is used to improve the segmentation, initiating another iteration cycle, or to create the intermediate synthesized view.