A New Triangulation-Based Method for Disparity Estimation in Image Sequences

Authors:
Dimitri Bulatov;Peter Wernerus;Stefan Lang
Affiliations:
Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany 76275;Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany 76275;Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany 76275
Venue:
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Year:
2009

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Abstract

We give a simple and efficient algorithm for approximating computation of disparities in a pair of rectified frames of an image sequence. The algorithm consists of rendering a sparse set of correspondences, which are triangulated, expanded and corrected in the areas of occlusions and homogeneous texture by a color distribution algorithm. The obtained approximations of the disparity maps are refined by a semi-global algorithm. The algorithm was tested for three data sets with rather different data quality. The results of the performance of our method are presented and areas of applications and future research are outlined.