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.
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Kozik, R. (2011). Improving Depth Map Quality with Markov Random Fields. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 3. Advances in Intelligent and Soft Computing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23154-4_17
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DOI: https://doi.org/10.1007/978-3-642-23154-4_17
Publisher Name: Springer, Berlin, Heidelberg
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