期刊文献+

基于畸变规律的三维结构光测量系统标定 被引量:16

Calibration of 3DStructured Light Measurement System Based on the Properties of Lens Distortion
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摘要 标定是结构光三维立体视觉测量系统中的关键一步,标定的准确性对测量系统至关重要。基于镜头的畸变规律,提出了一种新型的系统标定方法,即以光轴为中心分隔同心圆环,形成多个子标定区域,通过反向投影标定法一一进行标定。此法充分考虑到了大视场和透镜光学单元畸变不一的影响,提高了局部和全局标定精度。实验结果表明,在扩大视场约为1050mm×750mm时,分为两区域的投影仪标定精度提高了72.8%,系统测量精度达到28.9μm,展示了对畸变更好的处理效果。该方法不依赖任何特殊的标定设备,操作简单,准确易行,可同时满足大视场和高精度的测量要求,并增强了系统实时性。 Calibration is an important process in 3D vision measurement for the structured light system. The calibration results influence measurement accuracy. After studying the properties of lens distortion, a new calibration method is proposed in which the target region is divided into many sub-regions of concentric rings formed by treating the optical axis as a center point along with a given radius. Then, according to the reprojection method, calibrations are done one by one. Since this method takes the impact of large filed of view as well as lens distortion into account, calibration accuracies of both local and global regions are improved dramatically. The experimental results show that to the field of about 1050 mm×750 mm divided into two regions, the accuracy for projector calibration increases by 72.8% and the system precision reaches 28.9 μm, which indicate the advantage of this method on distortion processing. The method does not rely on any special calibration equipment, and operates easily and conveniently with good accuracy. It is proved that the proposed method can meet measurement requirements of large field, high precision, and be more compatible to real-time system.
出处 《光学学报》 EI CAS CSCD 北大核心 2013年第12期162-170,共9页 Acta Optica Sinica
基金 国家自然科学基金(61076016 61077021) 南京邮电大学基金(NY212076 NY212050)
关键词 机器视觉 三维立体视觉测量 结构光测量 系统标定 相机标定 投影仪标定 machine vision 3D stereo vision measurement structured light measurement system calibration camera calibration projector calibration
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参考文献33

  • 1马颂德 张正友.计算机视觉[M].北京:科学出版社,1998.72-80.
  • 2F Blais.Review of 20 years of range sensor development [J].Journal of Electronic Imaging,2004,13(1):231-244.
  • 3R J Valkenburg,A M Mclvor.Accurate 3D measurement using a structured light system [J].Image and Vision Computing,1998,16(2):99-110.
  • 4Nicola,D′Apuzzo.Overview of 3D surface digitization technologies in Europe [C].SPIE,2006,6056:42-54.
  • 5F Chen,G M Brown,M Song.Overview of three-dimensional shape measurement using optical methods [J].Optical Engineering,2000,39(1):10-22.
  • 6W C Tai,M Chang.A machine vision technique for subpixel estimation of three-dimensional profilometry [J].Optical and Quantum Electronics,1996,28(10):1571-1582.
  • 7C C Stama,C Theurer,S W Henriksen.Manual of Photogrammetry [M].Virginia:American Society of Photogrammetry,1980.
  • 8Y I Abdel-Aziz,H M Karara.Direct linear transformation into object space coordinates in close-range photogrammetry [C].Proceedings of the Symposium on Close-Range Photogrammetry,1971,1-18.
  • 9Y EL-Manadili,K Novak.Precision rectification of SPOT imagery using the direct linear transformation model [J].Photogrammetric Engineering and Remote Sensing,1996,62(1):67-72.
  • 10W Faig.Calibration of close-rang photogrammetric systems:mathematical formulation [J].Photogrammetric Engineering Remote Sensing,1975,41(12):1479-1486.

二级参考文献94

  • 1曲芳,钟金钢.基于数字彩色结构光投影的唇动三维测量[J].光学技术,2006,32(5):691-694. 被引量:3
  • 2吴庆阳,苏显渝,向立群,李勇.线结构光双传感器测量系统的标定方法[J].中国激光,2007,34(2):259-264. 被引量:33
  • 3李勇,苏显渝,吴庆阳.PMP系统中一种新的相位—高度映射算法[J].光电工程,2007,34(2):79-83. 被引量:11
  • 4李继陶,苏显渝,向立群.激光三角法距离传感: 散斑的影响[J].光电工程,1997,24(2):69-72. 被引量:7
  • 5David Foil, Joaquim Salvi. Uncalibrated reconstruction:an adaptation to structured light vision. Pattern Recognition, 2003,36: 1631 - 1644.
  • 6Y F Li,R S Lu. Uncalibrated uclidean 3-D reconstruction using an active vision system. Transactions on Robotics and Automation, 2004, 20(1):15-25.
  • 7J Salvi, J BatUe,E Mouaddib. A robust-coded pattern projection for dynamic 3D scene measurement. Pattern Recognition Letter, 1998,19:1055 - 1065.
  • 8D Q Huynh, R A Owens, Hartmann, PE. Calibrating a structured light stripe system: a novel approach. International Journal of Computer Vision, 1999,33 (1) : 73 - 86.
  • 9Z Zhang, A flexible new technique for camera calibration. Technical Report MSR - TR- 98 - 71, Microsoft Research, Dec. 1998. Available together with the software at http://research. microsoft. com/zhang/Calib/.
  • 10Pages J, Salvi J, Collewet C, et al. Optimised De Bruijn patterns for one-shot shape acquisition[J]. linage and Vision Computing, 2005, 23(8): 707- 720.

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