Non-Uniform Hierarchical Pyramid Stereo for Large Images

Résumé

This paper addresses the stereo correspondence problem where the images are large enough to make stereo matching difficult. In order to reduce the problem size, we propose a new non-uniform hierarchical scheme with the ability to handle different coarseness levels simultaneously. Our framework, based on a maximum flow formulation, allows a much better localization of object boundaries where large depth discontinuities are present. The uniform decomposition fails to localize precisely such borders because it makes the assumption that surfaces are smooth in order to correct the errors from one coarseness level to the next. Our disparity estimation accurately localizes large depth discontinuities and then focus on increasing the resolution of smooth surfaces. Results on synthetic and real images demonstrate the validity of our framework.

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