使用局部体素化的成对表面配准

Peng Song, Xiaoping Chen
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引用次数: 5

摘要

表面配准是通过对扫描的重叠部分进行对齐,使扫描进入一个共同的坐标系的过程,这可以通过使用形状描述符在每个扫描对上找到几对匹配点,并利用匹配点计算对齐变换来实现。本文提出了一种局部体素化描述符,其核心思想是利用一个基点周围的局部形状定义一个唯一的局部参考帧(LRF),对与LRF对齐的立方体体积内的局部形状进行体素化,并将从每个体素中提取的局部特征连接起来构建描述符。利用局部体素化描述符选择一对匹配点,并基于对齐相应的LRFs计算刚性变换,提出了一种成对配准算法。定量实验表明,该算法可以实现小重叠扫描对的配准,同时保持可接受的配准精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pairwise Surface Registration Using Local Voxelizer
Surface registration is the process that brings scans into a common coordinate system by aligning their overlapping components, which can be achieved by finding a few pairs of matched points on each scan pair using shape descriptors and employing the matches to compute an alignment transformation. This paper proposes a local voxelizer descriptor, and the key idea is to define a unique local reference frame (LRF) using the local shape around a basis point, perform voxlization for the local shape within a cubical volume aligned with the LRF, and concatenate local features extracted from each voxel to construct the descriptor. A pairwise registration algorithm is developed by choosing a single pair of matched points using the local voxelizer descriptor, and computing a rigid transformation based on aligning the corresponding LRFs. Quantitative experiments show that our algorithm can register scan pairs with small overlap, while maintaining acceptable registration accuracy.
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