Abstract

We present a method for 3D shape reconstruction of inextensible deformable surfaces from a single image. The key of our approach is to represent the surface as a 3D triangulated mesh and formulate the reconstruction problem as a sequence of Linear Programming (LP) problems. We use a closed-form method to generate an initial structure, then refine this structure by solving the LP problem iteratively. The robustness and accuracy of our approach are evaluated qualitatively on real data.

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