双目结构光目标三维重建方法研究

杨其望; 张慧; 刘江涛; 王钦若

doi:10.12052/gdutxb.240106

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双目结构光目标三维重建方法研究

计算机科学与技术 | 更新时间：2026-05-27

- 双目结构光目标三维重建方法研究
- Research on Target 3D Reconstruction Technology Based on Binocular Structured Light
- 广东工业大学学报 2025年42卷第5期页码：121-128
- 作者机构：
  
  广东工业大学自动化学院,广东,广州,510006
- 作者简介：
  
  杨其望(1999–) ，男，硕士研究生，主要研究方向为双目视觉，E-mail：yangqiwang0222@163.com
  张慧(1979–) ，女，讲师，博士，主要研究方向为时滞系统优化控制、电机控制系统、柔性系统控制、深度学习、图像处理，E-mail：zh2008@gdut.edu.cn
- 基金信息：
  
  广东省重点领域研发计划项目(2022B0701180001)
- DOI：10.12052/gdutxb.240106
  中图分类号： TP391.4
- 纸质出版：2025
- 稿件说明：
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杨其望, 张慧, 刘江涛, 等. 双目结构光目标三维重建方法研究[J]. 广东工业大学学报, 2025, 42(5): 121–128.

Yang Qiwang, Zhang Hui, Liu Jiangtao, et al. Research on Target 3D Reconstruction Technology Based on Binocular Structured Light[J]. 2025, 42(5): 121-128.
杨其望, 张慧, 刘江涛, 等. 双目结构光目标三维重建方法研究[J]. 广东工业大学学报, 2025, 42(5): 121–128. DOI： 10.12052/gdutxb.240106

Yang Qiwang, Zhang Hui, Liu Jiangtao, et al. Research on Target 3D Reconstruction Technology Based on Binocular Structured Light[J]. 2025, 42(5): 121-128. DOI： 10.12052/gdutxb.240106.

摘要

针对双目结构光三维重建在左右图像的立体匹配过程中匹配基源选取不当造成的重建精度低等问题，提出一种基于绝对相位的匹配方法，从而降低误匹配率，提高重建精度。首先，在相移法与多频外差法求解的绝对相位基础上，利用极线约束对左右图像像素点采用全局搜索与局部搜索创建搜索匹配区域；然后对搜索区域进行3次样条插值实现亚像素立体匹配；最后利用三角测距原理完成匹配点二维坐标到三维坐标的转换，实现对目标表面的三维重建。实验结果表明：本文提出的方法较绝对误差和(Sum of Absolute Differences

SAD)与误差平方和(Sum of Squared Differences

SDD)匹配算法在匹配耗时上缩短了87.77%，在重建精度上分别提高了77.75%和90%，具有较强的通用性和实用性。同时三维重建后的点云无水波纹现象，表面平整光滑更接近实物。

Abstract

Aiming to address low reconstruction accuracy caused by improper selection of matching source in the stereo matching process of left and right images in binocular structured light 3D reconstruction

a matching method based on absolute phase is proposed to reduce the mismatch rate and improve the reconstruction accuracy. Firstly

based on the absolute phase solved by phase shift method and multi-frequency heterodyne method

the polar line constraint is used to create a search matching area by global search and local search for the pixels of the left and right images. Then

cubic spline interpolation is performed on the search area to achieve sub-pixel stereo matching. Finally

the triangulation principle is used to complete the conversion of the two-dimensional coordinates of the matching points to three-dimensional coordinates

and the three-dimensional reconstruction of the target surface is realized. The experimental results show that the method proposed reduces the matching time by 87.77% compared to SAD(Sum of Absolute Differences) and SSD(Sum of Squared Differences) matching algorithms

and improves the reconstruction accuracy by 77.75% and 90%

respectively

demonstrating its strong generality and practicality. Particularly

the point cloud reconstructed in 3D has no water ripple phenomenon

and the surface is smoother and closer to the actual object.

关键词

Keywords

references

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