首页 > 论文 > 中国激光 > 45卷 > 10期(pp:1004004--1)

数字散斑三维重建中散斑特性分析

Analysis of Speckle Characteristics in Three-Dimensional Reconstruction Based on Digital Speckle

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

摘要

详细介绍了基于数字散斑相关技术的三维重建方法, 包括双目立体视觉基本原理以及散斑三维重建基本流程。重点分析了整像素对应点查找方法以及基于牛顿-拉弗逊迭代的亚像素插值算法, 实现了散斑亚像素级三维重建。针对数字散斑相关计算模型, 分析了影响相关系数的因素, 并围绕相关系数计算和亚像素同名点插值精度两方面重点分析了二值随机散斑和灰度随机散斑的三维重建效果。通过设计不同尺寸颗粒的散斑图案和采用不同大小的相关计算窗口, 分别对平面陶瓷板和陶瓷标准球进行了三维重建精度分析。实验结果表明, 二值散斑能获得更高的重建精度。

Abstract

The three-dimensional reconstruction method based on digital speckle correlation technique is introduced in detail, including the basic principle of binocular stereo vision and the three-dimensional reconstruction process. The integer pixel search method and the subpixel interpolation algorithm based on Newton-Raphson iteration are emphatically analyzed, and the subpixel-level reconstruction is realized. According to the correlation model, the factors affecting the correlation coefficients are analyzed. Three-dimensional reconstructions by the binary and 8 grayscale speckles are discussed in terms of coefficient calculation and subpixel location precision. The ceramic plate and the ceramic standard ball are reconstructed by patterns with different speckle sizes and correlation region sizes in the experiments. Test results demonstrate that the reconstruction by the binary speckle has a better performance.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:TP391

DOI:10.3788/cjl201845.1004004

所属栏目:测量与计量

基金项目:国家重点研发计划(2017YFF0106401)、国家自然科学基金(61701321)、广东省科技计划项目(2017A010102023)、深圳市政府科技项目(JCYJ20160520160747570)

收稿日期:2018-05-02

修改稿日期:2018-05-22

网络出版日期:2018-06-04

作者单位    点击查看

汤其剑:深圳大学光电工程学院光电子器件与系统(教育部/广东省)重点实验室, 广东 深圳 518060
刘欣运:深圳大学光电工程学院光电子器件与系统(教育部/广东省)重点实验室, 广东 深圳 518060
吴禹:深圳大学光电工程学院光电子器件与系统(教育部/广东省)重点实验室, 广东 深圳 518060
刘晓利:深圳大学光电工程学院光电子器件与系统(教育部/广东省)重点实验室, 广东 深圳 518060
刘梦龙:深圳市易尚展示股份有限公司, 广东 深圳 518000
李清泉:深圳大学海岸带地理环境监测国家测绘地理信息局重点实验室, 广东 深圳 518060
彭翔:深圳大学光电工程学院光电子器件与系统(教育部/广东省)重点实验室, 广东 深圳 518060

联系人作者:刘晓利(lxl@szu.edu.cn); 彭翔(xpeng@szu.edu.cn);

【1】Sansoni G, Trebeschi M, Docchio F. State-of-the-art and applications of 3D imaging sensors in industry, cultural heritage, medicine, and criminal investigation[J]. Sensors, 2009, 9(1): 568-601.

【2】Zhang Z H. Review of single-shot 3D shape measurement by phase calculation-based fringe projection techniques[J]. Optics and Lasers in Engineering, 2012, 50(8): 1097-1106.

【3】Zuo C, Huang L, Zhang M L, et al. Temporal phase unwrapping algorithms for fringe projection profilometry: a comparative review[J]. Optics and Lasers in Engineering, 2016, 85: 84-103.

【4】Takeda M, Mutoh K. Fourier transform profilometry for the automatic measurement of 3-D object shapes[J]. Applied Optics, 1983, 22(24): 3977-3982.

【5】Mao X F, Chen W J, Su X Y. Improved Fourier-transform profilometry[J]. Applied Optics, 2007, 46(5): 664-668.

【6】Schaffer M, Grosse M,Harendt B, et al. High-speed three-dimensional shape measurements of objects with laser speckles and acousto-optical deflection[J]. Optics Letters, 2011, 36(16): 3097-3099.

【7】Wiegmann A, Wagner H, Kowarschik R. Human face measurement by projecting band limited random patterns[J]. Optics Express, 2006, 14(17): 7692-7698.

【8】Peng X, Yin Y K, Liu X L, et al. Phase-aided three-dimensional imaging and metrology[J]. Acta Optica Sinica, 2011, 31(9): 0900120.
彭翔, 殷永凯, 刘晓利, 等. 基于相位辅助的三维数字成像与测量[J]. 光学学报, 2011, 31(9): 0900120.

【9】Hu L Y, Da F P, Wang L Y. A novel color fringe projection method for 3D measurement of colorful objects[J]. Acta Optica Sinica, 2012, 32(2): 0212002.
胡路遥, 达飞鹏, 王露阳. 一种针对彩色物体的光栅投影三维测量方法[J]. 光学学报, 2012, 32(2): 0212002.

【10】Yamaguchi I. Speckle displacement and decorrelation in the diffraction and image fields for small object deformation[J].Optica Acta: International Journal of Optics, 1981, 28(10): 1359-1376.

【11】Peters W H, Ranson W F. Digital imaging techniques in experimental stress analysis[J]. Optical Engineering, 1982, 21(3): 427-431.

【12】Pan B, Qian K M, Xie H M, et al. Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review[J]. Measurement Science and Technology, 2009, 20(6): 062001.

【13】Pozzi F, di Matteo T, Aste T. Exponential smoothing weighted correlations[J]. The European Physical Journal B, 2012, 85: 175.

【14】Albrecht P, Michaelis B. Stereo photogrammetry with improved spatial resolution[C]∥Proceedings of 14th International Conference on Pattern Recognition, 1998, 1: 845-849.

【15】Harendt B, Groe M, Schaffer M, et al. 3D shape measurement of static and moving objects with adaptive spatiotemporal correlation[J]. Applied Optics, 2014, 53(31): 7507-7515.

【16】Huo X Y, Liu Y. A stereovision measurement method using epipolar constraint to correct digital image correlation matching[J]. Chinese Journal of Lasers, 2017, 44(8): 0804003.
霍晓洋, 刘洋. 一种极线约束修正数字图像相关匹配的立体视觉测量方法[J]. 中国激光, 2017, 44(8): 0804003.

【17】He J Y, Liu X L, Peng X, et al. Integer pixel correlation searching for three-dimensional digital speckle based on gray constraint[J]. Chinese Journal of Lasers, 2017, 44(4): 0404003.
何进英, 刘晓利, 彭翔, 等. 基于灰度约束的三维数字散斑整像素相关搜索[J]. 中国激光, 2017, 44(4): 0404003.

【18】Da J, Qu H M, Tao T Y, et al. Real-time three-dimensional measurement composite of epipolar constraint and speckle correlation[J]. Acta Optica Sinica, 2016, 36(10): 1012003.
笪健, 屈惠明, 陶天阳, 等. 结合极线约束和散斑相关的实时三维测量方法[J]. 光学学报, 2016, 36(10): 1012003.

【19】Shi C Q. Research on the key problems in binocular stereo measurement system based on random illumination[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2011: 35-42.
石春琴. 随机光照双目立体测量系统中的若干关键问题研究[D]. 南京: 南京航空航天大学, 2011: 35-42.

【20】Heist S, Kühmstedt P, Tünnermann A, et al. Theoretical considerations on aperiodic sinusoidal fringes in comparison to phase-shifted sinusoidal fringes for high-speed three-dimensional shape measurement[J]. Applied Optics, 2015, 54(35): 10541-10551.

引用该论文

Tang Qijian,Liu Xinyun,Wu Yu,Liu Xiaoli,Liu Menglong,Li Qingquan,Peng Xiang. Analysis of Speckle Characteristics in Three-Dimensional Reconstruction Based on Digital Speckle[J]. Chinese Journal of Lasers, 2018, 45(10): 1004004

汤其剑,刘欣运,吴禹,刘晓利,刘梦龙,李清泉,彭翔. 数字散斑三维重建中散斑特性分析[J]. 中国激光, 2018, 45(10): 1004004

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF