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Proceedings Paper

Multi-view 3D measurement data registration based on encoding point spatial location and match
Author(s): Haihua Cui; Zhimin Zhao; Minghui Tang; Changye Guo; Jinping Weng
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Paper Abstract

This paper presents a novel registration method by encoding feature point identification and spatial location to make the registration of 3D measurement easy. A new proposed decoding algorithm based on polar coordinate segmentation is first used for identification feature point, the feature points are then measured and constructed. The overlapped 3D measurement feature points within two views are used to unify coordinate system, so the feature points of each view are achieved for global spatial location. The object is finally measured with any view which only contains at least three feature points. The unconstrained 3D registration is acquired with the feature points matching between single measurement view and global spatial points. Our experiments show that the proposed method is convenient and effective, and greatly enhances the flexibility of 3D measurement applications.

Paper Details

Date Published: 6 March 2015
PDF: 6 pages
Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94464Z (6 March 2015); doi: 10.1117/12.2182398
Show Author Affiliations
Haihua Cui, Nanjing Univ. of Aeronautics and Astronautics (China)
Zhimin Zhao, Nanjing Univ. of Aeronautics and Astronautics (China)
Minghui Tang, Nanjing Univ. of Aeronautics and Astronautics (China)
Changye Guo, Nanjing Univ. of Aeronautics and Astronautics (China)
Jinping Weng, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 9446:
Ninth International Symposium on Precision Engineering Measurement and Instrumentation
Junning Cui; Jiubin Tan; Xianfang Wen, Editor(s)

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