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基于投影强度的快速高动态范围三维形状测量

周国平 朱文韬 易传华 曾龙辉 黄舒欣 祝振敏

周国平, 朱文韬, 易传华, 曾龙辉, 黄舒欣, 祝振敏. 基于投影强度的快速高动态范围三维形状测量[J]. 应用光学, 2023, 44(1): 175-181. doi: 10.5768/JAO202344.0103009
引用本文: 周国平, 朱文韬, 易传华, 曾龙辉, 黄舒欣, 祝振敏. 基于投影强度的快速高动态范围三维形状测量[J]. 应用光学, 2023, 44(1): 175-181. doi: 10.5768/JAO202344.0103009
ZHOU Guoping, ZHU Wentao, YI Chuanhua, ZENG Longhui, HUANG Shuxin, ZHU Zhenmin. 3D shape measurement in fast high dynamic range based on projection intensity[J]. Journal of Applied Optics, 2023, 44(1): 175-181. doi: 10.5768/JAO202344.0103009
Citation: ZHOU Guoping, ZHU Wentao, YI Chuanhua, ZENG Longhui, HUANG Shuxin, ZHU Zhenmin. 3D shape measurement in fast high dynamic range based on projection intensity[J]. Journal of Applied Optics, 2023, 44(1): 175-181. doi: 10.5768/JAO202344.0103009

基于投影强度的快速高动态范围三维形状测量

doi: 10.5768/JAO202344.0103009
基金项目: 国家自然科学基金项目(52065024);江西省重点研发计划(20202BBE53022);江西省03专项(20212ABC03A20)
详细信息
    作者简介:

    周国平 (1970—),男,研究生,工程师,主要从事偏振结构光三维测量等技术研究。E-mail:156185231@qq.com

    通讯作者:

    祝振敏(1984—),男,博士,教授,硕、博士生导师,主要从事偏振结构光三维测量等方面的教学与科研工作。E-mail:zhuzhenmin1984@163.com

  • 中图分类号: TN247

3D shape measurement in fast high dynamic range based on projection intensity

  • 摘要: 条纹投影轮廓术由于具有速度快、精度高、对环境光照和表面纹理具有鲁棒性等优点,在许多领域得到了广泛应用。但是,它容易受到高动态范围(high dynamic range, HDR)对象的影响。因此提出了一种快速计算最佳投影亮度的方法。通过求解相机与投影仪之间的响应关系,结合所提出的一个简便的投影亮度确定方法,可以得到测量所需要的投影亮度。再基于所提出的图像融合算法融合求得的各个亮度下的原始图片,从而获得高质量的融合图片,实现对HDR物体的高精度的三维重构。相较于传统方法,无需盲目投射和拍摄大量图片或计算复杂的单应性矩阵,仅需要投影一张均匀白光至被测物体,即可快速求解出相机和投影仪之间的响应函数,从而获得所需的投影亮度,使得测量速度有极大的提升。
  • 图  1  进入相机的光线组成

    Fig.  1  Composition diagram of light to enter camera

    图  2  像素分布曲线图

    Fig.  2  Curves of pixel distribution

    图  3  测量系统

    Fig.  3  Physical picture of measurement system

    图  4  不同投影亮度的图像。

    Fig.  4  Images with different projection brightness

    图  5  投影亮度为140的图像

    Fig.  5  Image with projection brightness of 140

    图  6  相机与投影仪的响应分布曲线

    Fig.  6  Response distribution curves of camera and projector

    图  7  4幅不同投影亮度的图像

    Fig.  7  Four images with different projection brightness

    图  8  融合图像及其像素分布直方图

    Fig.  8  Fused image and histogram of pixel distribution

    图  9  融合图像及各个投影强度下的图像的频率分布

    Fig.  9  Frequency distribution diagram of fused image and images under various projection intensities

    图  10  三维重构结果

    Fig.  10  Diagram of 3D reconstruction results

    表  1  多组图像对的信噪比

    Table  1  Signal-to-noise ratio of multiple image pairs

    图像SNR
    融合图片15.09
    投影亮度255图片16.53
    投影亮度140图片13.30
    投影亮度100图片2.05
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-04-11
  • 修回日期:  2022-08-29
  • 网络出版日期:  2022-09-17
  • 刊出日期:  2023-01-17

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