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Curvature-based algorithms for nonrigid motion and correspondence estimation

机译:基于曲率的非刚性运动和对应估计算法

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We present a novel technique for utilizing the Gaussian curvature information in 3D nonrigid motion estimation in the absence of known correspondence. Differential-geometric constraints derived in the paper allow one to estimate parameters of the local affine motion model given the values of Gaussian curvature before and after motion. These constraints can be further combined with the previously known constraints based on the unit normals before and after motion. Our experiments demonstrate that the resulting hybrid algorithm is more accurate than each of its constituents and more accurate than the classical ICP algorithm. We also present a technique for curvilinear orthogonalization of quadratic Monge patches that is essential in our derivation and useful in other applications.
机译:我们提出了一种在没有已知对应关系的情况下在3D非刚性运动估计中利用高斯曲率信息的新颖技术。在给定运动前后的高斯曲率值的情况下,本文得出的微分几何约束条件允许人们估计局部仿射运动模型的参数。基于运动前后的单位法线,这些约束可以与先前已知的约束进一步组合。我们的实验表明,所得混合算法比其每个组成部分更准确,并且比经典ICP算法更准确。我们还提出了二次Monge斑块的曲线正交正交化的技术,这对我们的推导至关重要,在其他应用中也很有用。

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