Improving iterative closed points algorithm for sparse range image registration

Li Xu; Xiuqin Li; Lixia Chen

doi:10.1117/12.867775

12 October 2010 Improving iterative closed points algorithm for sparse range image registration

Li Xu, Xiuqin Li, Lixia Chen

Proceedings Volume 7659, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials in Manufacturing and Testing; 76590A (2010) https://doi.org/10.1117/12.867775
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

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.

Citation Download Citation

Li Xu, Xiuqin Li, and Lixia Chen "Improving iterative closed points algorithm for sparse range image registration", 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); https://doi.org/10.1117/12.867775

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