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Proceedings Paper

Improving iterative closed points algorithm for sparse range image registration
Author(s): Li Xu; Xiuqin Li; Lixia Chen
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Paper Abstract

3D data registration algorithm based on invariant was proposed, which is sparse range image from stripe coded structured light system. The range image is uneven and its corresponding points during different views are not the same ones, but the adjacent regions. The algorithm is improved iterative closed points algorithm; invariant is added during search corresponding points such as the volume of tetrahedron. The impact of volume on noise, rigid translation, and perturbation are analyzed by means of statistics experiments, and then the search criterions are proposed. Experiments verified the validity of the data registration algorithm from the quantitative and qualitative aspects.

Paper Details

Date Published: 12 October 2010
PDF: 7 pages
Proc. SPIE 7659, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials in Manufacturing and Testing, 76590A (12 October 2010); doi: 10.1117/12.867775
Show Author Affiliations
Li Xu, North China Univ. of Water Conservancy and Electric Power (China)
Xiuqin Li, North China Univ. of Water Conservancy and Electric Power (China)
Lixia Chen, North China Univ. of Water Conservancy and Electric Power (China)


Published in SPIE Proceedings Vol. 7659:
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials in Manufacturing and Testing
Xiangang Luo; Georg von Freymann, Editor(s)

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