Pushing the limits of stereo using variational stereo estimation
We examine high accuracy stereo estimation for binocular sequences that where obtained from a mobile platform. The ultimate goal is to improve the range of stereo systems without altering the setup. Based on a well-known variational optical flow model, we introduce a novel stereo model that features...
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Published in: | 2012 IEEE Intelligent Vehicles Symposium pp. 401 - 407 |
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Main Authors: | , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-06-2012
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Subjects: | |
Online Access: | Get full text |
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Summary: | We examine high accuracy stereo estimation for binocular sequences that where obtained from a mobile platform. The ultimate goal is to improve the range of stereo systems without altering the setup. Based on a well-known variational optical flow model, we introduce a novel stereo model that features a second-order regularization, which both allows sub-pixel accurate solutions and piecewise planar disparity maps. The model incorporates a robust fidelity term to account for adverse illumination conditions that frequently arise in real-world scenes. Using several sequences that were taken from a mobile platform we show the robustness and accuracy of the proposed model. |
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ISBN: | 9781467321198 1467321192 |
ISSN: | 1931-0587 2642-7214 |
DOI: | 10.1109/IVS.2012.6232171 |