8 March 2018 A portable low-cost 3D point cloud acquiring method based on structure light
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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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Gui, Li Gui, Shunyi Zheng, Shunyi Zheng, Xia Huang, Xia Huang, Like Zhao, Like Zhao, Hao Ma, Hao Ma, Chao Ge, Chao Ge, Qiuxia Tang, 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); doi: 10.1117/12.2288328; https://doi.org/10.1117/12.2288328
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