基于结构光的高速运动目标三维互补测量技术

邓文波; 孔筱芳; 夏言; 弯港; 万敏杰; 罗红娥

doi:10.12382/bgxb.2025.0927

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基于结构光的高速运动目标三维互补测量技术

更新时间：2026-08-06

- 基于结构光的高速运动目标三维互补测量技术
- 3D Complementary Measurement for High-speed Moving Targets Based on Structured Light
- 兵工学报 2026年
- 作者机构：
  
  1. 南京理工大学瞬态物理全国重点实验室,江苏,南京,210094
  2. 南京理工大学电子工程与光电技术学院,江苏,南京,210094
  3. 南京理工大学江苏省光谱成像与智能感知重点实验室,江苏,南京,210094
- 作者简介：
- 基金信息：
  
  国家自然科学基金面上项目（62571245）;国家自然科学基金青年科学基金项目（62201260）;中央高校基本科研业务费专项资金资助项目（30925020226、30924010941）;江苏省自主科研基金项目（2025-JSS-LB-034-14）;重点实验室基金项目（2024-CXPT-GF-JJ-095-10）
- DOI：10.12382/bgxb.2025.0927
  中图分类号： TP391
- 收稿：2025-10-17，
  
  网络首发：2026-08-06，
- 稿件说明：
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邓文波，孔筱芳，夏言，等. 基于结构光的高速运动目标三维互补测量技术[J/OL]. 兵工学报, 2026(2026-08-06). https://doi.org/10.12382/bgxb.2025.0927.

. Abstract: the three-dimensional reconstruction technology for high-speed dynamic targets has been widely applied in the military field. the conventional fourier transform profilometry (ftp) fails to resolve the phase due to fringe aliasing in the target edges and the damaged regions during the 3d reconstruction of high-speed moving targets. to address this issue, a heterogeneous complementary measurement method is proposed, which employs ftp as the primary means for reconstructing the main surface morphology and the binocular intersection as an auxiliary means for recovering the spatial coordinates of key edge feature points. the method is aimed to improve the detection accuracy of edge sizes in transient surface measurements for the high-speed moving targets with potential local damage. a multi-view cooperative measurement system which uses three high-resolution cameras to capture the high-speed moving target is established. the primary surface morphology of target reconstructed using ftp, and the spatial coordinates of edge and damaged areas are computed based on binocular vision principles. rigid registration between the binocular point cloud and ftp data is achieved via the singular value decomposition (svd) algorithm. experimental results demonstrate that, compared to traditional ftp method, the proposed method decreases the detection precision error of specific edge feature points to less than 2%. the results validate the robustness of the proposed method in high-speed scenarios. keywords: high-speed moving target; fourier transform profilometry; binocular intersection; three-dimensional reconstruction; singular value decomposition[J/OL]. Acta Armamentarii, 2026(2026-08-06). https://doi.org/10.12382/bgxb.2025.0927. (in Chinese)
邓文波，孔筱芳，夏言，等. 基于结构光的高速运动目标三维互补测量技术[J/OL]. 兵工学报, 2026(2026-08-06). https://doi.org/10.12382/bgxb.2025.0927. DOI：

. Abstract: the three-dimensional reconstruction technology for high-speed dynamic targets has been widely applied in the military field. the conventional fourier transform profilometry (ftp) fails to resolve the phase due to fringe aliasing in the target edges and the damaged regions during the 3d reconstruction of high-speed moving targets. to address this issue, a heterogeneous complementary measurement method is proposed, which employs ftp as the primary means for reconstructing the main surface morphology and the binocular intersection as an auxiliary means for recovering the spatial coordinates of key edge feature points. the method is aimed to improve the detection accuracy of edge sizes in transient surface measurements for the high-speed moving targets with potential local damage. a multi-view cooperative measurement system which uses three high-resolution cameras to capture the high-speed moving target is established. the primary surface morphology of target reconstructed using ftp, and the spatial coordinates of edge and damaged areas are computed based on binocular vision principles. rigid registration between the binocular point cloud and ftp data is achieved via the singular value decomposition (svd) algorithm. experimental results demonstrate that, compared to traditional ftp method, the proposed method decreases the detection precision error of specific edge feature points to less than 2%. the results validate the robustness of the proposed method in high-speed scenarios. keywords: high-speed moving target; fourier transform profilometry; binocular intersection; three-dimensional reconstruction; singular value decomposition[J/OL]. Acta Armamentarii, 2026(2026-08-06). https://doi.org/10.12382/bgxb.2025.0927. (in Chinese) DOI：

摘要

高速动态目标的三维重建技术在军事领域被广泛应用，针对高速运动目标三维重建中传统傅里叶变换轮廓术(Fourier Transform Profilometry，FTP)在目标边缘及破损区域因条纹混叠导致的相位解算失效问题，提出一种以FTP重建主体面形为主、以双目交会补全边缘关键特征点空间坐标为辅的异构互补测量方法，面向高速运动且可能存在局部破损的目标场景，提升瞬态形貌测量中边缘尺寸的检测精度。构建多视角协同测量系统，采用三台高分辨率相机捕捉高速运动目标；目标主体形貌通过FTP技术重建，边缘及破损区域通过双目交会原理解算其空间坐标；采用奇异值分解算法实现双目点云与FTP数据的刚性配准。实验结果表明，相较于传统FTP方法，新方法将部分边缘特征点检测精度误差降低至2%以内，验证了高速场景下高速目标形貌的测量稳定性。

Abstract

The three-dimensional reconstruction technology forhigh-speeddynamic targets has been widely applied inthemilitaryfield.Theconventional Fouriertransformprofilometry (FTP)fails to resolve the phase due tofringe aliasing inthe targetedgesandthedamaged regions during the 3D reconstruction of high-speed moving targets. To address this issue

a heterogeneous complementary measurement method is proposed

which employs FTP as the primary means for reconstructing the main surface morphology andthebinocular intersection as an auxiliary means for recovering the spatial coordinates of key edge feature points. The method is aimed toimprovethe detectionaccuracy of edgesizesin transient surface measurementsfor thehigh-speed moving targets with potential local damage. A multi-view cooperative measurement systemwhich usesthree high-resolution cameras to capture thehigh-speed movingtargetis established. The primary surface morphologyof targetreconstructed using FTP

andthe spatial coordinates of edge and damaged areas are computed based on binocular vision principles. Rigid registration between the binocular point cloud and FTP data is achieved via thesingularvaluedecomposition(SVD) algorithm.Experimental results demonstrate that

compared to traditional FTP method

the proposedmethoddecreasesthedetection precision errorofspecificedge feature points toless than 2%. The results validate the robustness of the proposed method in high-speed scenarios.

关键词

Keywords

references

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