A Stereo Matching Algorithm of Sub-Pixel Phases Based on Region Segmention

doi:10.7652/xjtuxb201710006

您当前的位置：

首页 >

文章列表页 >

A Stereo Matching Algorithm of Sub-Pixel Phases Based on Region Segmention

更新时间：2025-07-09

- A Stereo Matching Algorithm of Sub-Pixel Phases Based on Region Segmention
- Vol. 51, Issue 10, Pages: 33-38(2017)
- 作者机构：
  
  西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201710006
  CLC： TH39
- Online First：10 October 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
A Stereo Matching Algorithm of Sub-Pixel Phases Based on Region Segmention[J]. 2017, 51(10): 33-38.
DOI：

A Stereo Matching Algorithm of Sub-Pixel Phases Based on Region Segmention[J]. 2017, 51(10): 33-38. DOI： 10.7652/xjtuxb201710006.

摘要

针对双目光栅投影测量中深度不连续及边界阴影处的误匹配导致测量误差大的问题

提出区域分割的亚像素相位立体匹配算法。该算法采用由粗到精的匹配策略

在标准极线几何、相位等约束下获得粗匹配点。根据变形栅线图、展开相位图的特点将粗匹配结果分为不包含边界阴影的深度连续区域、边界阴影及深度不连续区域

分别使用加窗匹配测度最小二乘法和外插法获得亚像素匹配点。实验结果表明:该算法能有效消除传统匹配算法在深度不连续处的视差平滑过渡; 与传统点基元匹配算法相比

该算法在边界阴影及深度不连续处的平均高度相对误差减小了62%～69%

与传统模板匹配算法相比

该算法在边界阴影及深度不连续处的平均高度相对误差减小了57%～61%

在深度连续处的匹配精度提高了3～4倍。该算法有效提高了相位立体匹配的精度

对提高目前三维测量技术精度具有重要意义。

Abstract

A stereo matching algorithm of sub-pixel phases based on region segmentation is proposed to solve the problem of mismatching in boundary shadow region and depth-discontinuous region appeared in binocular projected grating measurement. The proposed algorithm uses a matching strategy for coarse-to-fine and obtains the coarse matching points under a standard epipolar line constraint

a phase constraint and other constraints. The algorithm divides the coarse matching results into a depth-continuous region without boundary shadow and a depth-discontinuous region with boundary shadow in accordance with the characteristics of the deformed fringe map and the phase unwrapping map. Sub-pixel matching points are then obtained by using the least square curve fitting method with windowed matching measure and the extrapolation method

respectively. Experimental results show that the proposed algorithm effectively eliminates the disparity smoothing transition in depth-discontinuous region. A comparison with the traditional point matching algorithm and traditional template matching algorithm shows that the proposed algorithm reduces mean relative error of heights from 62% to 69% and from 57% to 61%

respectively in depth-discontinuous region and increases the matching accuracy 3 to 4 times in depth-continuous region. The proposed algorithm effectively improves the accuracy of phase stereo matching

and is of great significance to improve the accuracy of 3D present measurement technique.

关键词

Keywords

references

DAI Meiling, YANG Fujun, LIU Cong, et al. A dual-frequency fringe projection three-dimensional shape measurement system using a DLP 3D projector [J]. Optics Communications, 2017, 382: 294-301.

PRIBANIC T, OBRADOVIC N, SALVI J. Stereo computation combining structured light and passive stereo matching [J]. Optics Communications, 2012, 285(6): 1017-1022.

李进军, 赵宏. 一种基于多模式单演特征检测与匹配的三维视觉测量方法 [J]. 光学学报, 2011, 31(7): 140-148.

LI Jinjun, ZHAO Hong. Three-dimensional vision measuring technique based on multi-modal monogenic features detecting and matching [J]. Acta Optica Sinica, 2011, 31(7): 140-148.

GU Feifei, ZHAO Hong, ZHOU Xiang, et al. Photometric invariant stereo matching method [J]. Optics Express, 2015, 23(25): 31779-31792.

董诗浩, 赵晓波, 李阿蒙, 等. 透镜畸变模型下的亚像素对应点匹配方法 [J]. 红外与激光工程, 2008, 37(S1): 55-58.

DONG Shihao, ZHAO Xiaobo, LI Ameng, et al. Sub-pixel matching method based on model of lens distortion [J]. Infrared and Laser Engineering, 2008, 37(S1): 55-58.

魏振忠, 樊妍睿, 张广军. 光栅式双目立体视觉传感器的立体匹配方法 [J]. 红外与激光工程, 2010, 39(2): 330-334.

WEI Zhenzhong, FAN Yanrui, ZHANG Guangjun. Stereo matching method for raster binocular stereo vision sensor [J]. Infrared and Laser Engineering, 2010, 39(2): 330-334.

姜宏志, 赵慧洁, 梁宵月, 等. 基于极线校正的快速相位立体匹配 [J]. 光学精密工程, 2011, 19(10): 2520-2525.

JIANG Hongzhi, ZHAO Huijie, LIANG Xiaoyue, et al. Phase based stereo matching using epipolar line rectification [J]. Optics and Precision Engineering, 2011, 19(10): 2520-2525.

HUANG Haiqing, FANG Xiangzhong, LI Qingchun, et al. Rapid and accurate phase matching for 3D measurement [C]∥Proceedings of the 2013 10th IEEE International Conference on Fuzzy Systems and Knowledge Discovery. Piscataway, NJ, USA: IEEE, 2013: 1096-1100.

LI Dong, ZHAO Huijie, JIANG Hongzhi. Fast phase-based stereo matching method for 3D shape measurement [C]∥Proceedings of the 2010 International Symposium on Optomechatronic Technologies. Piscataway, NJ, USA: IEEE, 2010: 1-5.

熊维, 李文龙, 尹周平. 双目PMP视觉测量中立体匹配方法的设计与实现 [J]. 中国机械工程, 2013, 24(19): 2635-2640.

XIONG Wei, LI Wenlong, YIN Zhouping. Design and implementation of a stereo matching method in binocular PMP vision measurement [J]. China Mechanical Engineering, 2013, 24(19): 2635-2640.

SONG Kechen, HU Shaopeng, WEN Xin, et al. Fast 3D shape measurement using Fourier transform profilometry without phase unwrapping [J]. Optics and Lasers in Engineering, 2016, 84: 74-81.

黄亚楠, 娄小平. 基于多频外差原理的相位校正及匹配方法研究 [J]. 应用光学, 2014(2): 237-241.

HUANG Yanan, LOU Xiaoping. Phase correction and matching based on multi-frequency heterodyne method [J]. Journal of Applied Optics, 2014(2): 237-241.

肖志涛, 卢晓方, 耿磊, 等. 基于极线校正的亚像素相位立体匹配方法 [J]. 红外与激光工程, 2014, 43(S1): 225-230.

XIAO Zhitao, LU Xiaofang, GENG Lei, et al. Sub-pixel matching method based on epipolar line rectification [J]. Infrared and Laser Engineering, 2014, 43(S1): 225-230.

张铮, 徐超, 任淑霞, 等. 数字图像处理与机器视觉: Visual C++与Matlab实现 [M]. 2版. 北京: 人民邮电出版社, 2014: 383-384.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Geometric Precision Detection for Numerical Control Machine Tool Based on Laser Tracker

Study on Multiregion Variable Parameters Method for 3D Orthogonal Scanning Probe Calibration

Research on Test Cases Distribution for Performance Evaluation of 5G Communication Base Station Management System

Turbulent Kinetic Energy Dissipation Mechanism of Supercritical Carbon Dioxide Leakage Flow in a Scallop Bionic Seal Cavity

Bi-Level Multi-Obj ective Optimization of a Wind-Solar Coupled Hydrogen Production System Based on the Synergy of Hybrid Electrolyzer Arrays

Related Author

王金栋

郭俊杰

邓玉芬

费致根

万鹏

李海涛

王金栋

LI Yizhen

Related Institution

State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University

MOE Key Lab for Intelligent and Network Security, Xi'an Jiaotong University

Xi'an Research Institute of Huawei Technology Co., Ltd.

⁰