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基于偏振系统最优投影强度的三维重建方法

3D reconstruction method based on the optimal projection intensity of a polarization system.

作者信息

Zhu Zhenmin, Zhu Tai, Sun Xiang, Zhang Fumin

出版信息

Appl Opt. 2022 Dec 1;61(34):10290-10298. doi: 10.1364/AO.478450.

Abstract

The measurement of shiny objects is a major challenge for structured light 3D measurement. Polarization systems can be used to measure shiny objects. However, the polarizer may attenuate the light intensity of the captured image, reducing the SNR of the image, and the measurement accuracy will be affected. To improve the measurement accuracy and efficiency, this paper proposes a 3D measurement method based on polarization optimal projection intensity. By establishing the camera response function under the polarization system, the desired optimal projection intensity can be directly estimated and used to compensate for the image light intensity attenuated by the additional polarizer. This method does not require rotating polarizers and multiple exposure times. In addition, the optimal fringe images are obtained by applying image fusion algorithms. The experimental results show that the method improves pixels in the image that are too dark, while significantly reducing the saturated pixels on the shiny surface. This method can effectively improve the image contrast, get better fringe images, extract more effective information, and reconstruct a more complete 3D point cloud.

摘要

对光泽物体进行测量是结构光三维测量面临的一项重大挑战。偏振系统可用于测量光泽物体。然而,偏振器可能会衰减所采集图像的光强度,降低图像的信噪比,进而影响测量精度。为提高测量精度和效率,本文提出一种基于偏振最优投影强度的三维测量方法。通过建立偏振系统下的相机响应函数,可直接估计出所需的最优投影强度,并用于补偿由额外偏振器衰减的图像光强度。该方法无需旋转偏振器和多次曝光时间。此外,通过应用图像融合算法获得最优条纹图像。实验结果表明,该方法改善了图像中过暗的像素,同时显著减少了光泽表面上的饱和像素。该方法能够有效提高图像对比度,获得更好的条纹图像,提取更多有效信息,并重建更完整的三维点云。

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