A portable low-cost 3D point cloud acquiring method based on structure light

Li Gui; Shunyi Zheng; Xia Huang; Like Zhao; Hao Ma; Chao Ge; Qiuxia Tang

doi:10.1117/12.2288328

8 March 2018 A portable low-cost 3D point cloud acquiring method based on structure light

Li Gui, Shunyi Zheng, Xia Huang, Like Zhao, Hao Ma, Chao Ge, Qiuxia Tang

Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 106091M (2018) https://doi.org/10.1117/12.2288328
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

A fast and low-cost method of acquiring 3D point cloud data is proposed in this paper, which can solve the problems of lack of texture information and low efficiency of acquiring point cloud data with only one pair of cheap cameras and projector. Firstly, we put forward a scene adaptive design method of random encoding pattern, that is, a coding pattern is projected onto the target surface in order to form texture information, which is favorable for image matching. Subsequently, we design an efficient dense matching algorithm that fits the projected texture. After the optimization of global algorithm and multi-kernel parallel development with the fusion of hardware and software, a fast acquisition system of point-cloud data is accomplished. Through the evaluation of point cloud accuracy, the results show that point cloud acquired by the method proposed in this paper has higher precision. What`s more, the scanning speed meets the demand of dynamic occasion and has better practical application value.

Citation Download Citation

Li Gui, Shunyi Zheng, Xia Huang, Like Zhao, Hao Ma, Chao Ge, and Qiuxia Tang "A portable low-cost 3D point cloud acquiring method based on structure light", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106091M (8 March 2018); https://doi.org/10.1117/12.2288328

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