节距自适应三维目标光栅测量方法

孙奎; 张胜; 陈亚群; 陈建飞

doi:doi:10.13756/j.gtxyj.2017.03.009

光通信研究, 2017 (3): 33, 网络出版: 2017-07-07

节距自适应三维目标光栅测量方法

An Adaptive Grating Pitch Measurement Method

论文大纲

孙奎张胜陈亚群陈建飞 ^*

作者单位

南京邮电大学光电工程学院, 南京 210046

三维测量光栅节距自适应区域划分 three-dimensional measurement grating pitch adaptive region division

摘要

针对三维光栅测量中难以有效设置光栅节距实现高精度测量的问题, 提出了一种节距自适应三维目标光栅测量方法, 其实现过程如下: 首先基于大节距光栅获取物体的轮廓; 然后采用非联通区域划分法, 按轮廓对目标区域进行划分, 再分区调整光栅节距, 进行二次投影; 最后依据光栅节距按区域重建, 实现三维目标高精度测量。仿真结果表明, 与传统四步相移法相比, 该方法通过自适应调整光栅节距, 使测量精度提高了6.78%, 表明该方法能较好地实现三维目标的精确测量, 具有较高的实用价值。

Abstract

In order to solve the problem of high precision measurement of grating pitch in three-dimensional grating measurement, an adaptive three-dimensional object grating pitch measurement method is presented in this paper. Its implementation processes are as follows: obtain the object outline based on a large pitch grating; according to the achieve outline, divide the target area by non-Unicom zoning laws; adjust the partition grating pitch and take second projection; according to the divided target area, reconstruct the three-dimensional object to achieve high-precision measurement regionally. The simulation results show that compared to the traditional four-step phase shift method, the measurement accuracy of the proposed method (with the adaptive grating pitch ) is increased by 6.78%, indicating that the proposed method can achieve the three-dimensional object measurement more accurately, which also has good practical value.

参考文献

[1] Harizanova Jana,Sainov Ventseslav . Three-Dimensional Profilometry by Symmetrical Fringes Projection Technique [J].Optics and Lasers in Engineering, 2006, 44(12):1270-1282.

[2] Tavares P J, Vaz M A . Orthogonal Projection Technique for Resolution Enhancement of the Fourier Transforms Fringe Analysis Method [J]. Optical Communication, 2006,266(2):465-468.

[3] 崔海华, 翁金平, 程筱胜, 等.一种单双目视觉结合的实时激光三维测量方法 [J]. 光学与光电技术,2016,14(6):50-57.

[4] 陈果, 左洪福. 图像的自适应模糊阈值分割法 [J]. 自动化学报, 2003,29(5): 791-796.

[5] 郑素珍, 陈文静, 苏显渝. 自适应窗口傅里叶变换三维面形检测技术 [J]. 光电工程, 2006, 32(9): 51-54.

[6] Dipanda A, Woo S. Towards a Real-time 3D Shape Reconstruction Using a Structured Light System [J]. Pattern Recognition, 2005, 38(10):1632-1650.

[7] 韦争亮, 钟约先, 袁朝龙, 等.彩色光栅线动态三维测量中自适应相关匹配技术 [J].光学学报, 2009,29(4):949-954.

[8] LATHUILIRE A, PAGS J, SALVI J, et al. An Adaptive Structured Light Pattern for the 3D Profiling of Colored Objects [C]//International Conference on Imaging Technology Applications for the 21st Century. Beijing: Ocean Univ China, 2005.

[9] CRETU A M, PETRIU E M. Neural-Network-Based Adaptive Sampling of Three-Dimensional-Object Surface Elastic Properties [J].IEEE Transactions on Instrumentation and Measurement, 2004, 1(2):285 -290.

[10] TANG H, SUN Y, YIN B, et al. Self-Adaptive 3D Face Recognition Based on Feature Division [C]//ICIG’09. Xi’an, China: IEEE, 2009: 885-890.

[11] KIM M Y, AYAZ S M, PARK J, et al. Adaptive 3D Sensing System Based on Variable Magnification Using Stereo Vision and Structured Light [J]. Optics and Lasers in Engineering, 2014, 55(7):113-127.

孙奎, 张胜, 陈亚群, 陈建飞. 节距自适应三维目标光栅测量方法[J]. 光通信研究, 2017, 43(3): 33. SUN Kui, ZHANG Sheng, CHEN Ya-qun, CHEN Jian-fei. An Adaptive Grating Pitch Measurement Method[J]. Study On Optical Communications, 2017, 43(3): 33.

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