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逐像素调制的高反光表面三维测量方法

冯维 徐仕楠 王恒辉 熊芝 王选择 翟中生

冯维, 徐仕楠, 王恒辉, 熊芝, 王选择, 翟中生. 逐像素调制的高反光表面三维测量方法[J]. 中国光学(中英文), 2022, 15(3): 488-497. doi: 10.37188/CO.2021-0220
引用本文: 冯维, 徐仕楠, 王恒辉, 熊芝, 王选择, 翟中生. 逐像素调制的高反光表面三维测量方法[J]. 中国光学(中英文), 2022, 15(3): 488-497. doi: 10.37188/CO.2021-0220
FENG Wei, XU Shi-nan, WANG Heng-hui, XIONG Zhi, WANG Xuan-ze, ZHAI Zhong-sheng. Three-dimensional measurement method of highly reflective surface based on per-pixel modulation[J]. Chinese Optics, 2022, 15(3): 488-497. doi: 10.37188/CO.2021-0220
Citation: FENG Wei, XU Shi-nan, WANG Heng-hui, XIONG Zhi, WANG Xuan-ze, ZHAI Zhong-sheng. Three-dimensional measurement method of highly reflective surface based on per-pixel modulation[J]. Chinese Optics, 2022, 15(3): 488-497. doi: 10.37188/CO.2021-0220

逐像素调制的高反光表面三维测量方法

doi: 10.37188/CO.2021-0220
基金项目: 国家自然科学基金(No. 51805153)
详细信息
    作者简介:

    冯 维(1988—),男,湖北黄梅人,副教授,2011年、2014年于湖北工业大学分别获得学士、硕士学位,2018年于天津大学获得博士学位,主要从事光学三维测量与计算成像方面的研究。E-mail:fengwei@hbut.edu.cn

    徐仕楠(1997—),男,湖北咸宁人,湖北工业大学硕士研究生,2019年于湖北工业大学获得学士学位,主要从事光学三维测量方面的研究。E-mail:101900018@hbut.edu.cn

  • 中图分类号: TH741

Three-dimensional measurement method of highly reflective surface based on per-pixel modulation

Funds: Supported by National Natural Science Foundation of China (No. 51805153)
More Information
  • 摘要: 高反光表面的三维面形测量是光学三维测量领域的难题之一,本文提出一种基于逐像素调制的高反光表面三维测量方法,可解决光学三维测量中因过度曝光而导致的相位信息无法获取的问题。首先,通过投影最大灰度值的灰度图识别饱和像素点的位置;然后,依据投影低灰度下横纵条纹图进行过饱和区域坐标匹配,并结合一种新的相机-投影仪强度映射关系,逐像素求解过饱和像素点的最佳投影灰度值;最后,投影重新生成自适应条纹投影序列,并结合多频外差相移法用于相位恢复和三维重建。实验结果表明:所提方法的间距平均误差和标准偏差均小于文中其他方法所得的测量值,相对于传统方法,该方法的平均误差减少了61.9%,标准偏差减少了67.7%。本文所提方法的调制度高,速度快,能保证很高的测量精度。

     

  • 图 1  自适应条纹三维测量方法流程图

    Figure 1.  Flow chart of adaptive fringe 3D measurement method

    图 2  测量系统的坐标系示意图

    Figure 2.  Schematic diagram of coordinate of measurement system

    图 3  被测表面反射光的组成

    Figure 3.  Composition of reflected light from the measured surface

    图 4  4邻域匹配法

    Figure 4.  Matching method based on 4 neighborhoods

    图 5  三维测量系统实验平台

    Figure 5.  Experimental platform of 3D measurement system

    图 6  阈值分割效果图

    Figure 6.  Threshold segmentation graph

    图 7  相位展开流程图

    Figure 7.  Flow chart of phase unwrapping

    图 8  自适应投影条纹图

    Figure 8.  Adaptive projection fringe image

    图 9  (a)传统方法及(b)本文方法三维重建结果

    Figure 9.  3D reconstruction results obtained by (a) traditional method and (b) the proposed method

    图 10  不同方法的三维重建结果

    Figure 10.  Experimental results of 3D reconstruction with different methods

    表  1  本文方法与现有方法的误差检测结果

    Table  1.   Comparison of error detection results between the proposed method and existing methods

    方法过饱和像素点个数有效补偿率RMSE
    传统方法[24]10375604.3256
    Wei方法[21]135698.69%0.044
    Chen方法[22]102399.01%0.036
    本文方法85699.17%0.023
    下载: 导出CSV

    表  2  本文方法与现有方法的误差对比分析

    Table  2.   Error analysis comparison between the proposed method and existing methods (mm)

    方法最大间距最小间距平均误差标准偏差
    传统方法[24]20.2119.780.210.31
    Wei方法[21]20.1419.840.150.21
    Chen方法[22]20.1219.860.130.18
    本文方法20.0819.920.080.10
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-12-14
  • 录用日期:  2022-02-13
  • 修回日期:  2022-01-10
  • 网络出版日期:  2022-04-07
  • 刊出日期:  2022-05-20

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