一种基于结构光的高反光表面三维重建算法
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(1. 南京航空航天大学 自动化学院, 南京 211100;2. 高速载运设施的无损检测监控技术工业和信息化部重点实验室, 南京 211100)

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TP391.4

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国家重点研发计划项目(2018YFB2003304);国家自然科学基金项目(61871218);中央高校基本科研业务费项目(NJ2019007,NJ2020014).*通信作者:迟云鹏E-mail:1059619370@qq.com


A 3D Reconstruction Algorithm for Highly Reflective Surfaces Based on Structured Light
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(1. Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, Nanjing 211100, CHN;2. Non-Destructive Testing and Monitoring Technology for High-Speed Transport Facilities Key Laboratory of Ministry of Industry and Information Technology of the People's Republic of China, Nanjing 211100, CHN)

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    摘要:

    针对高反光表面的三维重建一直是结构光技术中的重点及难点。文章基于多重曝光法及调整投影条纹强度法,提出了一种曝光时间序列以及条纹亮度序列的选择方法,利用被测物体在不同投影条件下的表面临过曝像素点数统计直方图,结合图像中像素点数的不过曝比例,计算所求的曝光时间及条纹亮度序列,完善了针对高反光表面的高动态范围技术。实验结果表明,文章提出方法能够有效地提升高反光表面三维重建的精度,点云中有效像素点数可以达到96%以上。

    Abstract:

    Three-dimensional reconstruction of highly reflective surfaces has always been the focus and difficulty in structured light technology. Based on the multiple exposure method and the method of adjusting the projected fringe intensity, this paper proposed a selection method of exposure time sequence and fringe brightness sequence. Using the statistical histogram of the number of overexposed pixels on the surface of the tested objects under different projection conditions, combined with the non-overexposure ratio of the number of pixels in the image, the desired exposure time and fringe intensity sequence was calculated, and the high dynamic range technology for highly reflective surfaces was completed. The experimental results show that the proposed method can effectively improve the accuracy of 3D reconstruction of highly reflective surfaces, and the number of effective pixels in the point cloud can reach more than 96%.

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迟云鹏,刘文波,徐方.一种基于结构光的高反光表面三维重建算法[J].半导体光电,2022,43(4):809-815. CHI Yunpeng, LIU Wenbo, XU Fang. A 3D Reconstruction Algorithm for Highly Reflective Surfaces Based on Structured Light[J].,2022,43(4):809-815.

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  • 收稿日期:2022-03-17
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  • 在线发布日期: 2022-09-16
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