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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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https://hal.inria.fr/inria-00326788
Contributor : Peter Sturm <>
Submitted on : Sunday, October 5, 2008 - 3:54:20 PM
Last modification on : Thursday, January 9, 2020 - 4:04:02 PM
Long-term archiving on: : Monday, October 8, 2012 - 2:01:22 PM

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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, Andrea Cavallaro and Hamid Aghajan, Oct 2008, Marseille, France. ⟨inria-00326788⟩

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