通过匹配定向点进行表面配准

Andrew E. Johnson, M. Hebert
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引用次数: 230

摘要

对于三维自由曲面的配准,我们开发了一种不需要视图之间转换知识的表示。所述表示包括与对象表面上的定向点相关联的描述性图像。这些图像使用单点基构建,是用于有效匹配定向点的数据级形状描述。使用图像的相关性来建立两个视图之间的点对应关系;从这些对应关系中计算出对齐视图的严格转换。然后使用改进的迭代最近点算法对转换进行细化和验证。为了证明我们方法的通用性,我们给出了来自多个传感领域的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surface registration by matching oriented points
For registration of 3-D free-form surfaces we have developed a representation which requires no knowledge of the transformation between views. The representation comprises descriptive images associated with oriented points on the surface of an object. Constructed using single point bases, these images are data level shape descriptions that are used for efficient matching of oriented points. Correlation of images is used to establish point correspondences between two views; from these correspondences a rigid transformation that aligns the views is calculated. The transformation is then refined and verified using a modified iterative closest point algorithm. To demonstrate the generality of our approach, we present results from multiple sensing domains.
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