High-Capacity Spatial Structured Light for Robust and Accurate Reconstruction

被引:2
|
作者
Gu, Feifei [1 ,2 ]
Du, Hubing [3 ]
Wang, Sicheng [1 ,3 ]
Su, Bohuai [1 ,3 ]
Song, Zhan [1 ,2 ]
机构
[1] Shenzhen Inst Adv Technol, Chinese Acad Sci, Shenzhen 518055, Peoples R China
[2] Chinese Univ Hong Kong, Dept Mech & Automation Engn, Hong Kong 999077, Peoples R China
[3] Xian Technol Univ, Sch Mechatron Engn, Xian 710032, Peoples R China
关键词
spatial structured light; high capacity; pseudo-2D coding strategy; corner detection; 3D reconstruction; 3D RECONSTRUCTION;
D O I
10.3390/s23104685
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Spatial structured light (SL) can achieve three-dimensional measurements with a single shot. As an important branch in the field of dynamic reconstruction, its accuracy, robustness, and density are of vital importance. Currently, there is a wide performance gap of spatial SL between dense reconstruction (but less accurate, e.g., speckle-based SL) and accurate reconstruction (but often sparser, e.g., shape-coded SL). The central problem lies in the coding strategy and the designed coding features. This paper aims to improve the density and quantity of reconstructed point clouds by spatial SL whilst also maintaining a high accuracy. Firstly, a new pseudo-2D pattern generation strategy was developed, which can improve the coding capacity of shape-coded SL greatly. Then, to extract the dense feature points robustly and accurately, an end-to-end corner detection method based on deep learning was developed. Finally, the pseudo-2D pattern was decoded with the aid of the epipolar constraint. Experimental results validated the effectiveness of the proposed system.
引用
收藏
页数:16
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