Method for calibration accuracy improvement of projector-camera-based structured light system

被引:17
作者
Nie, Lei [1 ]
Ye, Yuping [1 ]
Song, Zhan [1 ,2 ]
机构
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen Key Lab Comp Vis & Virtual Real Technol, Shenzhen, Peoples R China
[2] Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
structured light system; calibration; three-dimensional reconstruction; parameter optimization; RECONSTRUCTION;
D O I
10.1117/1.OE.56.7.074101
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Calibration is a critical step for the projector-camera-based structured light system (SLS). Conventional SLS calibration means usually use the calibrated camera to calibrate the projector device, and the optimization of calibration parameters is applied to minimize the two-dimensional (2-D) reprojection errors. A three-dimensional (3-D)-based method is proposed for the optimization of SLS calibration parameters. The system is first calibrated with traditional calibration methods to obtain the primary calibration parameters. Then, a reference plane with some precisely printed markers is used for the optimization of primary calibration results. Three metric error criteria are introduced to evaluate the 3-D reconstruction accuracy of the reference plane. By treating all the system parameters as a global optimization problem and using the primary calibration parameters as initial values, a nonlinear multiobjective optimization problem can be established and solved. Compared with conventional calibration methods that adopt the 2-D reprojection errors for the camera and projector separately, a global optimal calibration result can be obtained by the proposed calibration procedure. Experimental results showed that, with the optimized calibration parameters, measurement accuracy and 3-D reconstruction quality of the system can be greatly improved. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
引用
收藏
页数:9
相关论文
共 36 条
  • [1] [Anonymous], 2005, INT WORKSH ROB SENS
  • [2] Flexible calibration of structured-light systems projecting point patterns
    Ben-Hamadou, Achraf
    Soussen, Charles
    Daul, Christian
    Blondel, Walter
    Wolf, Didier
    [J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2013, 117 (10) : 1468 - 1481
  • [3] Optimal Image-Based Euclidean Calibration of Structured Light Systems in General Scenes
    Bird, Nathaniel
    Papanikolopoulos, Nikolaos
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2011, 8 (04) : 815 - 823
  • [4] Bouguet J. -Y., 1999, THESIS, P107
  • [5] Bouguet J.-Y., 2015, MATLAB CAMERA CALIBR
  • [6] A self-recalibration method based on scale-invariant registration for structured light measurement systems
    Chen, Rui
    Xu, Jing
    Zhang, Song
    Chen, Heping
    Guan, Yong
    Chen, Ken
    [J]. OPTICS AND LASERS IN ENGINEERING, 2017, 88 : 75 - 81
  • [7] Accurate calibration for a camera-projector measurement system based on structured light projection
    Chen, Xiaobo
    Xi, Juntong
    Jin, Ye
    Sun, Jin
    [J]. OPTICS AND LASERS IN ENGINEERING, 2009, 47 (3-4) : 310 - 319
  • [8] Falcao G., 2009, Projector-Camera Calibration Toolbox
  • [9] Flexible method for structured light system calibration
    Gao, Wei
    Wang, Liang
    Hu, Zhanyi
    [J]. OPTICAL ENGINEERING, 2008, 47 (08)
  • [10] A Practical Approach to 3D Scanning in the Presence of Interreflections, Subsurface Scattering and Defocus
    Gupta, Mohit
    Agrawal, Amit
    Veeraraghavan, Ashok
    Narasimhan, Srinivasa G.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2013, 102 (1-3) : 33 - 55