Journal of Xidian University ›› 2021, Vol. 48 ›› Issue (6): 123-130.doi: 10.19665/j.issn1001-2400.2021.06.015

• Information and Communications Engineering • Previous Articles     Next Articles

Dense three-dimensional reconstruction algorithm based on spatially encoded structured light

CHEN Rong1(),XU Hongli1,2(),YANG Dongxue1(),HUANG Hua1,3()   

  1. 1. School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China
    2. Beijing Key Laboratory of Traffic Data Analysis and Mining,Beijing Jiaotong University,Beijing 100044,China
    3. Key Laboratory of Beijing for Railway Engineering,Beijing Jiaotong University,Beijing 100044,China
  • Received:2020-07-14 Online:2021-12-20 Published:2022-02-24
  • Contact: Hongli XU E-mail:chenrong@bjtu.edu.cn;hlxu@bjtu.edu.cn;18120434@bjtu.edu.cn;hhua@bjtu.edu.cn

Abstract:

The 3D reconstruction technology based on structured light has the advantages of high accuracy,fast speed,and good robustness.It is widely used in the fields of biomedicine and cultural relics restoration.It is of important theoretical significance and research value.With the rapid development of science and technology,the demand for non-contact detection and measurement of high-speed moving targets has gradually increased.The 3D reconstruction of targets with few features and fast speed has become the key to solving the problem.Compared with time coding,spatial coding only needs to shoot a single pattern,which is more suitable for 3D reconstruction of moving targets.This paper proposes a novel dense 3D reconstruction method based on spatially encoded structured light.First,a structured light encoding mode composed of sine monochrome stripes and pseudo-random points is constructed.The stripes are identified by pseudo-random points to reduce the color interference; second,a dense 3D reconstruction method based on local phase matching is proposed.The spatial resolution of point cloud is improved by obtaining the phase information on pixels between adjacent stripes for pixel matching.Finally,the method can enhance the speed of 3D reconstruction,which uses only one image pair to decode,and does not need to calibrate the projector and color correction.Experimental results show that the algorithm is feasible and effective.

Key words: surface reconstruction, structured light, projector-cameras system, Fourier transforms

CLC Number: 

  • TP391