State-Based Visibility for 3D Reconstruction from Multiple Views

Abstract : Estimating visibility is one of the most important steps for multi-view reconstruction using volumetric scene representation. In this paper, we propose a simple approach to estimating visibility based on the current state of a scene which is implicitly represented as the zero level set of a function. Our method can determine the regions of a 3D space visible to several given viewpoints efficiently. Using this visibility method, we also present a new variational formulation for multi-view reconstruction. We cast the multi-view reconstruction problem as an op- timization of a novel energy functional amenable for minimization with an Euler-Lagrange driven evolution. The proposed algorithm has been applied to both synthetic and real datasets with promising results.
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Communication dans un congrès
Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Oct 2008, Marseille, France. 2008
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Liuxin Zhang, Yumo Yang, Yunde Jia. State-Based Visibility for 3D Reconstruction from Multiple Views. Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications - M2SFA2 2008, Oct 2008, Marseille, France. 2008. 〈inria-00326788〉

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