Error of image saturation in the structured-light method

被引:23
|
作者
Qi, Zhaoshuai [1 ]
Wang, Zhao [1 ]
Huang, Junhui [1 ]
Xing, Chao [1 ]
Gao, Jianmin [1 ]
机构
[1] Xi An Jiao Tong Univ, Inst Mfg Syst & Qual Engn, 28 Xianning West Rd, Xian 710049, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
3-DIMENSIONAL SHAPE MEASUREMENT; PHASE-MEASURING PROFILOMETRY; FRINGE PROJECTION TECHNIQUE; INSPECTION; ALGORITHM;
D O I
10.1364/AO.57.00A181
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In the phase-measuring structured-light method, image saturation will induce large phase errors. Usually, by selecting proper system parameters (such as the phase-shift number, exposure time, projection intensity, etc.), the phase error can be reduced. However, due to lack of a complete theory of phase error, there is no rational principle or basis for the selection of the optimal system parameters. For this reason, the phase error due to image saturation is analyzed completely, and the effects of the two main factors, including the phase-shift number and saturation degree, on the phase error are studied in depth. In addition, the selection of optimal system parameters is discussed, including the proper range and the selection principle of the system parameters. The error analysis and the conclusion are verified by simulation and experiment results, and the conclusion can be used for optimal parameter selection in practice. (C) 2017 Optical Society of America
引用
收藏
页码:A181 / A188
页数:8
相关论文
共 50 条
  • [1] Structured-light Image Compression Based on Fractal Theory
    YAN Bao li
    [J]. Semiconductor Photonics and Technology, 2002, (01) : 41 - 45
  • [2] Robust extrication method for line structured-light stripe
    Xie, Fei
    Zhang, Yixin
    Wang, Shun
    Zhang, Xuping
    Qi, Li
    [J]. OPTIK, 2013, 124 (23): : 6400 - 6403
  • [3] A novel image sensor for raised characters based on structured-light
    Li, Xueyong
    Lu, Changhou
    Xiao, Rujing
    Zhang, Jianchuan
    Ding, Jie
    [J]. SENSOR REVIEW, 2013, 33 (02) : 134 - 140
  • [4] Stereo vision with image-guided structured-light pattern matching
    Park, Min-Gyu
    Park, Jonghee
    Shin, Yongho
    Lim, Eul-Gyoon
    Yoon, Kuk-Jin
    [J]. ELECTRONICS LETTERS, 2015, 51 (03) : 238 - 239
  • [5] Method for large-scale structured-light system calibration
    Marrugo, Andres G.
    Vargas, Raul
    Romero, Lenny A.
    Zhang, Song
    [J]. OPTICS EXPRESS, 2021, 29 (11) : 17316 - 17329
  • [6] Structured-light based on shaped depth-image capturing system
    Chen, DY
    Tan, GY
    Yu, XY
    Meng, QX
    [J]. INPUT/OUTPUT AND IMAGING TECHNOLOGIES II, 2000, 4080 : 253 - 256
  • [7] Error analysis and structural analysis of structured-light visual sensor for seam tracking
    Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
    不详
    [J]. Yi Qi Yi Biao Xue Bao, 2008, 12 (2605-2610):
  • [8] Structured-light stereo: Comparative analysis and integration of structured-light and active stereo for measuring dynamic shape
    Jang, Wonkwi
    Je, Changsoo
    Seo, Yongduek
    Lee, Sang Wook
    [J]. OPTICS AND LASERS IN ENGINEERING, 2013, 51 (11) : 1255 - 1264
  • [9] Phase Error Reduction for a Structured-Light 3D System Based on a Texture-Modulated Reprojection Method
    Shi, Chenbo
    Qin, Zheng
    Hu, Xiaowei
    Zhu, Changsheng
    Mo, Yuanzheng
    Li, Zelong
    Yan, Shaojia
    Yu, Yue
    Zang, Xiangteng
    Zhang, Chun
    [J]. SENSORS, 2024, 24 (07)
  • [10] Development of 3D scanner based on laser structured-light image
    Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology, Korea, Republic of
    [J]. J. Inst. Control Rob. Syst., 3 (186-191):