In this talk we show how stereo reconstruction methods can benefit from recent progress in optic flow computation. To this end, we propose a novel variational model that is based on the currently most accurate optic flow technique (Brox et al. 2004). By incorporating the epipolar constraint in the estimation, the proposed model allows to transfer a variety of advantages to the field of variational stereo reconstruction: (i) Robustness under noise. (ii) Preservaton of discontinuites in the solution. (iii) A theoretically justified minimsation strategy.
Experiments with both synthetic and real-world data show the excellent performance and the noise robustness of our approach.