Calibration of a Free-Form Mirror for Optical 3D Measurements using a Generalized Camera Model

被引:0
作者
Braeuer-Burchardt, C. [1 ]
Heist, S. [1 ]
Kuehmstedt, P. [1 ]
Notni, G. [1 ]
Zwick, S. [2 ]
机构
[1] Fraunhofer Soc, Fraunhofer Inst Appl Opt & Precis Engn, D-07745 Jena, Germany
[2] Robert Bosch GmbH, Engn Components Video Syst Cameras CC DA ECV1, Chassis Syst Control, D-71226 Leonberg, Germany
来源
2013 8TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA) | 2013年
关键词
fringe projection; calibration; 3D measurement; optical free forms;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new methodology is presented which enables the use of optical free-forms instead of classical beamers for fringe projection based optical 3D surface measurements. Although optical free-forms allow the generation of approximately sinusoidal fringes for phase shifting profilometry, they cannot produce Gray code like pattern for robust phase unwrapping. The principal idea of this work is the consideration of the fringe producing free-form mirror as an optical component of the sensor system which should be used for 3D point calculation. In order to do so, a description of the spatial distribution of the considered rays will be realized. This corresponds to a calibration of the free-form. The approach of a generalized model is used for the calibration instead of selecting a certain camera model as the telecentric or the pinhole model. This generalized camera model will be described in this work.
引用
收藏
页码:200 / +
页数:2
相关论文
共 50 条
  • [41] Calibration of 3D kinematic systems using orthogonality constraints
    Pribanic, Tomislav
    Sturm, Peter
    Cifrek, Mario
    MACHINE VISION AND APPLICATIONS, 2007, 18 (06) : 367 - 381
  • [42] Highly accurate 3D reconstruction based on a precise and robust binocular camera calibration method
    Hu, Guoliang
    Zhou, Zuofeng
    Cao, Jianzhong
    Huang, Huimin
    IET IMAGE PROCESSING, 2020, 14 (14) : 3588 - 3595
  • [43] An automatic calibration method for stereo-based 3D distributed smart camera networks
    Mavrinac, Aaron
    Chen, Xiang
    Tepe, Kemal
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2010, 114 (08) : 952 - 962
  • [44] NMC3D: Non-Overlapping Multi-Camera Calibration Based on Sparse 3D Map
    Dai, Changshuai
    Han, Ting
    Luo, Yang
    Wang, Mengyi
    Cai, Guorong
    Su, Jinhe
    Gong, Zheng
    Liu, Niansheng
    SENSORS, 2024, 24 (16)
  • [45] Calibration and segmentation free 3D modelling from images based on GPU
    Shu, Bo
    Qiu, Xianjie
    Wang, Zhaoqi
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2010, 38 (1-3) : 185 - 191
  • [46] Measurement and calibration of the intensity transform function of the optical 3D profilometry system
    Zhang Xu
    Shao Shuang-yun
    Zhu Xiang
    Song Zhi-jun
    CHINESE OPTICS, 2018, 11 (01): : 123 - 130
  • [47] A 3D object measurement method using a single view camera
    Kang, Mi-Seon
    Lee, Cheol-hyo
    You, Byoung-Moon
    Chung, Yun-Su
    2015 INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC), 2015, : 790 - 792
  • [48] 3D Reconstruction of Oil Refinery Buildings Using a Depth Camera
    Li, Shuaihao
    He, Yanxiang
    Yang, Xinfeng
    Li, Qianqian
    Chen, Min
    CHEMISTRY AND TECHNOLOGY OF FUELS AND OILS, 2018, 54 (05) : 613 - 624
  • [49] 3D Metrology Using One Camera with Rotating Anamorphic Lenses
    Chen, Xiaobo
    Zhang, Jinkai
    Xi, Juntong
    SENSORS, 2022, 22 (21)
  • [50] Research on 3D Human Pose Estimation Using RGBD Camera
    Tang, Hui
    Wang, Qing
    Chen, Hong
    PROCEEDINGS OF 2019 IEEE 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2019), 2019, : 538 - 541