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彩色投影仪光强自适应高动态范围三维测量方法(英文)

Color projector light intensity adaptive high dynamic range 3D measurement method

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【作者】 黄浩珍牛斌程深曲兴华张福民

【Author】 HUANG Hao-zhen;NIU Bin;CHENG Shen;QU Xing-hua;ZHANG Fu-min;State Key Laboratory of Precision Measurement Technology and Instruments,Tianjin University;

【通讯作者】 张福民;

【机构】 天津大学精密测试技术及仪器国家重点实验室

【摘要】 单一曝光时间或单一投影强度的条纹投影轮廓术(FPP)系统方法受限于相机的动态范围,会导致图像的过饱和和欠饱和,从而造成点云缺失或精度降低。为了解决这一问题,有别于投影仪像素调制方法,我们利用彩色投影仪三通道LED投影强度可单独控制的特点,提出了投影仪三通道光强分离的方法,结合彩色相机,实现了单曝光、多光强图像采集。进一步地,将串扰系数应用到被测物体三通道反射率预测中,结合聚类与通道映射,建立了投影仪三通道电流与相机三通道图像光强的像素级映射模型,实现了最佳投影电流预测和高动态范围图像获取。我们所提出的方法只需一次曝光就能实现高动态范围场景的高精度三维数据获取,该方法的有效性已通过标准平面和标准台阶的实验进行了验证,相比于现有单曝光高动态范围方法显著降低了平均绝对误差(44.6%),相比于多曝光融合方法所需要的采集图像数量显著减小(文中场景下图片数量减小70.8%),提出的方法在各种FPP相关领域具有巨大潜力。

【Abstract】 The Fringe Projection Profilometry(FPP) system with a single exposure time or a single projection intensity is limited by the dynamic range of the camera, which can lead to overexposure and underexposure of the image, resulting in point cloud loss or reduced accuracy. To address this issue, unlike the pixel modulation method of projectors, we utilize the characteristics of color projectors where the intensity of the three-channel LED can be controlled independently. We propose a method for separating the projector’s three-channel light intensity, combined with a color camera, to achieve single exposure and multi-intensity image acquisition. Further, the crosstalk coefficient is applied to predict the three-channel reflectance of the measured object. By integrating clustering and channel mapping, we establish a pixel-level mapping model between the projector’s three-channel current and the camera’s three-channel image intensity, which realizes the optimal projection current prediction and the high dynamic range(HDR) image acquisition. The proposed method allows for high-precision three-dimensional(3D) data acquisition of HDR scenes with a single exposure. The effectiveness of this method has been validated through experiments with standard planes and standard steps, showing a significant reduction in mean absolute error(44.6%) compared to existing singleexposure HDR methods. Additionally, the number of images required for acquisition is significantly reduced(by 70.8%) compared to multi-exposure fusion methods. This proposed method has great potential in various FPP-related fields.

【基金】 Supported by National Natural Science Foundation of China(No.52375546)~~
  • 【文献出处】 中国光学(中英文) ,Chinese Optics , 编辑部邮箱 ,2025年05期
  • 【分类号】TP391.41
  • 【下载频次】8
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