Monocular template-based 3d reconstruction of extensible surfaces with local linear elasticity

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Malti, Abed
Hartley, Richard
Bartoli, Adrien
Kim, Jae Hak

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We propose a new approach for template-based extensible surface reconstruction from a single view. We extend the method of isometric surface reconstruction and more recent work on conformal surface reconstruction. Our approach relies on the minimization of a proposed stretching energy formalized with respect to the Poisson ratio parameter of the surface. We derive a patch-based formulation of this stretching energy by assuming local linear elasticity. This formulation unifies geometrical and mechanical constraints in a single energy term. We prevent local scale ambiguities by imposing a set of fixed boundary 3D points. We experimentally prove the sufficiency of this set of boundary points and demonstrate the effectiveness of our approach on different developable and non-developable surfaces with a wide range of extensibility.

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Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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