Download Deformable Surface 3D Reconstruction from Monocular Images by Matthieu Salzmann, Pascal Fua PDF

By Matthieu Salzmann, Pascal Fua

Having the ability to get well the form of 3D deformable surfaces from a unmarried video circulate could give the opportunity to box reconstruction structures that run on broadly on hand with out requiring really good units. although, simply because many alternative 3D shapes may have almost a similar projection, such monocular form restoration is inherently ambiguous. during this survey, we are going to assessment the 2 major sessions of thoughts that experience proved finest to this point: The template-based equipment that depend on setting up correspondences with a reference photo during which the form is already recognized, and non-rigid structure-from-motion suggestions that take advantage of issues tracked around the sequences to reconstruct a very unknown form. In either instances, we'll formalize the procedure, speak about its inherent ambiguities, and current the sensible strategies which were proposed to unravel them. To finish, we'll recommend instructions for destiny study. desk of Contents: advent / Early methods to Non-Rigid Reconstruction / Formalizing Template-Based Reconstruction / acting Template-Based Reconstruction / Formalizing Non-Rigid constitution from movement / appearing Non-Rigid constitution from movement / destiny instructions

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Extra resources for Deformable Surface 3D Reconstruction from Monocular Images (Synthesis Lectures on Computer Vision)

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We then move on to surfaces that deform smoothly, including those that remain globally smooth and those that need only be locally smooth and can therefore develop creases. We conclude by discussing inextensible surfaces. 1 DEVELOPABLE SURFACES Developable surfaces are surfaces with zero Gaussian curvature, meaning that, for all points and all possible deformations, one of the principal curvatures must be zero. Such 3D surfaces can be flattened onto a plane without distortion and are ruled surfaces.

3: Effective rank of matrix M. (a) 88-vertex mesh seen from the viewpoint used for reconstruction. (b) Singular values of M for the mesh of (a). Note how the values drop down after the 2Nv = 176th one. 1. The small graph on the right is a magnified version of the part of the graph containing the small singular values. The last one is zero up to the precision of the Matlab routine used to compute it and the others are not very much larger. 4: Visualizing vectors associated to small singular values.

In that case, given a shape prior modeled as a mixture of Gaussians, a strategy based on Kalman filtering is employed to progressively reduce the number of 2D point candidates that can be matched to a 3D point. 2, whether enforced locally or globally, smoothness by itself does not suffice to make the 3D monocular surface reconstruction problem well-posed and to guarantee a unique solution. Additional constraints are required. Enforcing distances across the deforming surface to be preserved has proved an effective way of disambiguating shape recovery.

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