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Abstract for vogiatzis_cvpr2005

Proceedings IEEE Conference on Computer Vision and Pattern Recognition 2005, pages 391-398, 2005.

MULTI-VIEW STEREO VIA VOLUMETRIC GRAPH-CUTS

G. Vogiatzis, P.H.S. Torr and R. Cipolla

2005

This paper presents a novel formulation for the multi-view scene reconstruction problem. While this formulation benefits from a volumetric scene representation, it is amenable to a computationally tractable global optimisation using Graph-cuts. The algorithm proposed uses the visual hull of the scene to infer occlusions and as a constraint on the topology of the scene. A photo consistency-based surface cost functional is defined and discretised with a weighted graph. The optimal surface under this discretised functional is obtained as the minimum cut solution of the weighted graph. Our method provides a viewpoint independent surface regularisation, approximate handling of occlusions and a tractable optimisation scheme. Promising experimental results on real scenes as well as a quantitative evaluation on a synthetic scene are presented.


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