Graph Cuts and Efficient N-D Image Segmentation
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Accurate and Scalable Surface Representation and Reconstruction from Images
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Surface Capture for Performance-Based Animation
IEEE Computer Graphics and Applications
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Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency
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ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Carved Visual Hulls for Image-Based Modeling
International Journal of Computer Vision
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Watertight multi-view reconstruction based on volumetric graph-cuts
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GPU-friendly multi-view stereo reconstruction using surfel representation and graph cuts
Computer Vision and Image Understanding
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Carved visual hulls for image-based modeling
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3D surface reconstruction using graph cuts with surface constraints
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
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Multiview visibility estimation for image-based modeling
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Applied Intelligence
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This paper presents a novel formulation for the multiview 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.