Probabilistic Scene Analysis for Robust Stereo Correspondence

Authors:
Markus Steffens;Dominik Aufderheide;Stephan Kieneke;Werner Krybus;Christine Kohring;Danny Morton
Affiliations:
South Westphalia University of Applied Sciences, Soest, Germany 59494 and University of Bolton, Bolton, UK BL3 5AB;South Westphalia University of Applied Sciences, Soest, Germany 59494 and University of Bolton, Bolton, UK BL3 5AB;South Westphalia University of Applied Sciences, Soest, Germany 59494 and University of Bolton, Bolton, UK BL3 5AB;South Westphalia University of Applied Sciences, Soest, Germany 59494;South Westphalia University of Applied Sciences, Soest, Germany 59494;University of Bolton, Bolton, UK BL3 5AB
Venue:
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Year:
2009

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Abstract

Most area-based approaches for stereo correspondence are leading to a large set of non-correct matches in the generated disparity-map. These are mainly caused by low textured areas, half occlusions, discontinuities in depth and the occurrence of repetitive patterns in the observed scene. This paper proposes a novel framework where non salient regions inside the stereo pair are identified previously to the matching, whereat the decision about the involvement of particular areas in the correspondence analysis is realized based on the fusion of separate confidence maps. They describe the possibility for a correct matching based on different criteria.