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Improving Depth Map Quality with Markov Random Fields

  • Rafał Kozik
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 102)

Summary

Currently there is an increasing number of solutions adapting sterevision camera for depth perception. Thanks to the two slightly different projections of the same scene it is possible to estimate distance to particular object. However the commononly used real-time correlation-based solutions usually suffer from inaccuracy caused by low textured regions or occlusions. Therefore in this article an statistical model-based approach for depth estimation is proposed. It engages both stereovision camera and prior knowledge of scene structure.

Keywords

Feature Vector Depth Estimation Markov Random Depth Discontinuity Markov Random Field Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rafał Kozik
    • 1
  1. 1.Institute of TelecommunicationsUniversity of Technology & Life SciencesBydgoszczPoland

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