同时确定三维距离图像之间的配准和变形参数

T. Masuda, Yuichiro Hirota, K. Ikeuchi, K. Nishino
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引用次数: 19

摘要

传统的配准算法主要关注的是一对三维距离图像之间的刚体变换参数。我们提出的框架旨在统一确定这些刚性转换参数和各种变形参数,假设我们这里处理的变形是由变形机制导出的一些参数化公式严格定义的。传统的配准算法通常需要计算6个参数(3个平移参数和3个旋转参数),而本文提出的算法还可以估计变形参数。在本文中,我们描述了我们如何制定这样一个算法,实现它,并评估其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous determination of registration and deformation parameters among 3D range images
Conventional registration algorithms are mostly concerned with rigid-body transformation parameters between a pair of 3D range images. Our proposed framework aims to determine, in a unified manner, not only such rigid transformation parameters but also various deformation parameters, assuming that the deformation we handle here is strictly defined by some parameterized formulation derived from the deformation mechanism. While conventional registration algorithms usually calculate six parameters (three translation and three rotation parameters), our proposed algorithm estimates deformation parameters as well. In this paper, we describe how we formulated such an algorithm, implemented it, and evaluated its performance.
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