Three-dimensional shape measurement of highly reflective objects based on adjusted projection intensity

ZHAO Liwei; ZHANG Zonghua; FU Shuai; MENG Zhaozong; GAO Nan

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Three-dimensional shape measurement of highly reflective objects based on adjusted projection intensity

Optical Sensing and Measurement | 更新时间：2025-10-09

- Three-dimensional shape measurement of highly reflective objects based on adjusted projection intensity
- OPTICAL TECHNIQUE Vol. 51, Issue 4, Pages: 504-512(2025)
- 作者机构：
  
  河北工业大学机械工程学院，天津 300401
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP394.1;TH691.9
- Received：19 February 2025，
  
  Revised：2025-04-03，
  
  Published：20 July 2025
- 稿件说明：
移动端阅览
赵丽伟,张宗华,付帅等.基于调整投影强度的高反光物体三维形貌测量[J].光学技术,2025,51(04):504-512.

ZHAO Liwei,ZHANG Zonghua,FU Shuai,et al.Three-dimensional shape measurement of highly reflective objects based on adjusted projection intensity[J].OPTICAL TECHNIQUE,2025,51(04):504-512.
赵丽伟,张宗华,付帅等.基于调整投影强度的高反光物体三维形貌测量[J].光学技术,2025,51(04):504-512. DOI：

ZHAO Liwei,ZHANG Zonghua,FU Shuai,et al.Three-dimensional shape measurement of highly reflective objects based on adjusted projection intensity[J].OPTICAL TECHNIQUE,2025,51(04):504-512. DOI：

摘要

条纹投影轮廓术是获取物体三维形貌最有效的方法之一，但是在测量高反光物体时，需要投影较多条纹图像，且精度不高。为此，提出一种基于调整投影强度的高反光物体三维形貌测量方法。通过计算物体表面系数并根据反射系数分布直方图求解最佳投影强度；结合极线约束和相位信息计算相机和投影仪的坐标对应关系，生成自适应条纹；将自适应条纹投影到被测物体表面实现对物体的三维测量。实验结果表明，测量高反光面台阶时，最大绝对误差为0.0249 mm，比单一投影强度法减少97.8%，比现有调整投影强度法误差减少18.6%，投影图像数量减少18幅。所提方法在减少投影条纹数量的同时提高了测量精度。

Abstract

Fringe projection profilometry is one of the most effective methods to obtain the three-dimensional （3D） shape of objects. However

when measuring highly reflective objects

more fringe images need to be projected

and the accuracy is not high. Therefore

a method for measuring the 3D shape of highly reflective objects based on adjusting projection intensity is proposed. First

the optimum projection intensity is calculated according to the surface coefficient of the object. Then

the coordinate correspondence between camera and projector is calculated according to the polar constraint and phase information

and the adaptive fringe is generated. Finally

the adaptive fringes are projected onto the surface of the object under test to achieve three-dimensional measurement of the object. The experimental results show that when measuring the steps of high reflective surfaces

the maximum absolute error is 0.0249 mm

which is 97.8% less than the method of single projection intensity

18.6% less than the existing method of adjusting projection intensity

and the number of projected images is reduced by 18. The proposed method can reduce the number of projection fringes and improve the measurement accuracy.

关键词

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references

孙超 , 石久烨 , 王梅渊 , 等 . 单目线结构光三维重建系统标定方法研究 [J ] . 光学技术 , 2024 , 50 （ 6 ）: 698 — 705 .

Sun Chao , Shi Jiuye , Wang Meiyuan , et al . Research on the calibration method of monocular camera line structured light three-dimensional reconstruction system [J ] . Optical Technique , 2024 , 50 （ 6 ）: 698 — 705 .

王晨 , 张宗华 , 丁宇航 , 等 . 基于立体标靶的双目系统标定研究 [J ] . 光学技术 , 2020 , 46 （ 3 ）: 322 — 329 .

Wang Chen , Zhang Zonghua , Ding Yuhang , et al . Research on the calibration of binocular system based on stereoscopic target [J ] . Optical Technique , 2020 , 46 （ 3 ）: 322 — 329 .

刘泉新 , 林世治 , 吴光强 , 等 . 大视场光电测量系统广角相机标定方法研究 [J ] . 光学技术 , 2022 , 48 （ 4 ）: 452 — 458 .

Liu Quanxin , Lin Shizhi , Wu Guangqiang , et al . Research on calibration method of wide-angle camera for large field of view photoelectric measurement system [J ] . Optical Technique , 2022 , 48 （ 4 ）: 452 — 458 .

张宗华 , 于瑾 , 高楠 , 等 . 高反光表面三维形貌测量技术 [J ] . 红外与激光工程 , 2020 , 49 （ 3 ）: 104 — 116 .

Zhang Zonghua , Yu Jin , Gao Nan , et al . Three-dimensional shape measurement techniques of shiny surfaces [J ] . Infrared and Laser Engineering , 2020 , 49 （ 3 ）: 104 — 116 .

朱坡 . 彩色高反光物体三维形貌测量技术 [D ] . 天津 : 河北工业大学 , 2023 : 19 — 24 .

Zhu Po . 3D shape measurement technology of color highly reflective objects [D ] . Tianjin : Hebei University of Technology , 2023 : 19 — 24 .

Zhu Zhenmin , Dong Yawen , Peng Xiang , et al . Rapid exposure time estimation method for high-dynamic range surface [J ] . Optik , 2023 , 273 : 170467 .

李兆杰 , 崔海华 , 刘长毅 , 等 . 一种基于自动多次曝光面结构光的形貌测量方法 [J ] . 光学学报 , 2018 , 38 （ 11 ）: 167 — 174 .

Li Zhaojie , Cui Haihua , Liu Changyi , et al . A shape measurement method based on automatic multiple exposure surface structured light [J ] . Acta Optica Sinica , 2018 , 38 （ 11 ）: 167 — 174 .

王张颖 , 张宁宁 , 高楠 , 等 . 基于单色条纹投影的高动态范围物体表面形貌三维测量 [J ] . 红外与激光工程 , 2023 , 52 （ 8 ）: 196 — 204 .

Wang Zhangying , Zhang Ningning , Gao Nan , et al . High dynamic range 3D surface shape measurement based on monochrome fringe projection [J ] . Infrared and Laser Engineering , 2023 , 52 （ 8 ）: 196 — 204 .

Li Ji , Guan Jingtian , Chen Xiaobo , et al . Adaptive optimal exposure selection based on time cost function for 3D reconstruction of high dynamic range surfaces [J ] . Measurement Science and Technology , 2023 , 34 （ 12 ）: ACF330 .

汪锦航 , 卢荣胜 , 刘端茂 . 高动态范围表面自适应条纹投影测量方法 [J ] . 光学学报 , 2021 , 41 （ 19 ）: 145 — 154 .

Wang Jinhang , Lu Rongsheng , Liu Duanmao . Adaptive fringe projection measurement method for high dynamic range surface [J ] . Acta Optica Sinica , 2021 , 41 （ 19 ）: 145 — 154 .

Zhang Liang , Chen Qian , Zuo Chao , et al . High dynamic range 3D shape measurement based on the intensity response function of a camera [J ] . Applied Optics , 2018 , 57 （ 6 ）: 1378 — 1386 .

毛翠丽 , 卢荣胜 . 高动态范围表面三维形貌重建新方法 [J ] . 激光与光电子学进展 , 2023 , 60 （ 7 ）: 151 — 160 .

Mao Cuili , Lu Rongsheng . A new method for 3D shape reconstruction with a high dynamic range surface [J ] . Laser & Optoelectronics Progress , 2023 , 60 （ 7 ）: 151 — 160 .

Zhang Mingda , Chen Chen , Xie Le , et al . Accurate measurement of high-reflective surface based on adaptive fringe projection technique [J ] . Optics and Lasers in Engineering , 2024 , 172 : 107820 .

冯维 , 汤少靖 , 赵晓冬 , 等 . 基于自适应条纹的高反光表面三维面形测量方法 [J ] . 光学学报 , 2020 , 40 （ 5 ）: 119 — 127 .

Feng Wei , Tang Shaojing , Zhao Xiaodong , et al . Three-dimensional shape measurement method of high-reflective surfaces based on adaptive fringe-pattern [J ] . Acta Optica Sinica , 2020 , 40 （ 5 ）: 119 — 127 .

Zheng Renhao , Li Lijing , Wan Maosen , et al . Automatic optimization of projection intensity for high dynamic range 3D surface measurement [J ] . Optics and Lasers in Engineering , 2024 , 177 : 107888 .

Feng Shijie , Chen Qian , Zuo Chao , et al . Fast three-dimensional measurements for dynamic scenes with shiny surfaces [J ] . Optics Communications , 2017 , 382 : 18 — 27 .

郝婧蕾 , 赵永强 , 赵海盟 , 等 . 偏振多光谱机器视觉的高反光无纹理目标三维重构方法 [J ] . 测绘学报 , 2018 , 47 （ 6 ）: 816 - 824 .

Hao Jinglei , Zhao Yongqiang , Zhao Haimeng , et al . 3D reconstruction of high-reflective and textureless targets bases on multispectral polarization and machine vision [J ] . Acta Geodaetica et Cartographica Sinica , 2018 , 47 （ 6 ）: 816 — 824 .

Kupinski M , Bradley C , Diner D , et al . Estimating surface orientation from microfacet Mueller matrix bidirectional reflectance distribution function models in outdoor passive imaging polarimetry [J ] . Optical Engineering , 2019 , 58 （ 8 ）: 082416 .

Liu Yanzhao , Fu Yanjun , Zhuan Yuhao , et al . High dynamic range real-time 3D measurement based on Fourier transform profilometry [J ] . Optics and Laser Technology , 2021 , 138 : 106833 .

Mattino F , Patruno C , Mosca N , et al . Material recognition by feature classification using time-of-flight camera [J ] . Journal of Electronic Imagine , 2016 , 25 （ 6 ）: 061412 .

陈超 . 基于条纹投影的三维形貌测量技术研究 [D ] . 天津 : 河北工业大学 , 2018 : 17 — 19 .

Chen Chao . Research on three-dimensional profilometry techniques based on fringe projection [D ] . Tianjin : Hebei University of Technology , 2018 : 17 — 19 .

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