资源论文Non-rigid Shape Registration: A Single Linear Least Squares Framework*

Non-rigid Shape Registration: A Single Linear Least Squares Framework*

2020-04-02 | |  108 |   52 |   0

Abstract

This paper proposes a non-rigid registration formulation cap- turing both global and local deformations in a single framework. This formulation is based on a quadratic estimation of the registration dis- tance together with a quadratic regularization term. Hence, the optimal transformation parameters are easily obtained by solving a liner system of equations, which guarantee a fast convergence. Experimental results with challenging 2D and 3D shapes are presented to show the validity of the proposed framework. Furthermore, comparisons with the most relevant approaches are provided.

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