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基于像素强度、像素颜色和相机曝光时间自适应调整的非均匀反射表面三维形状重建

3-D shape reconstruction of non-uniform reflectance surface based on pixel intensity, pixel color and camera exposure time adaptive adjustment.

作者信息

Wang Jianhua, Yang Yanxi, Zhou Yuguo

机构信息

School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266520, China.

School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, 710048, China.

出版信息

Sci Rep. 2021 Feb 25;11(1):4700. doi: 10.1038/s41598-021-83779-9.

Abstract

High dynamic range 3-D shape measurement is a challenge. In this work, we propose a novel method to solve the 3-D shape reconstruction of high-reflection and colored surfaces. First, we propose a method to establish a fast pixel-level mapping between the projected image and the captured image. Secondly, we propose a color texture extraction method using a black-and-white (B/W) camera and a pixel-level projection color adjustment method. Third, we give an optimal projection fringe modulation/background intensity ratio. Fourth, we propose a method for estimating the reflectivity of the object surface and ambient light interference, and a method for adjusting the projection intensity at the pixel level and a method for estimating the optimal exposure time. Experiments show that, compared with the existing methods, the proposed method not only can obtain high-quality captured images, but also has higher measurement efficiency and wider application range.

摘要

高动态范围三维形状测量是一项具有挑战性的任务。在这项工作中,我们提出了一种新颖的方法来解决高反射和彩色表面的三维形状重建问题。首先,我们提出了一种在投影图像和捕获图像之间建立快速像素级映射的方法。其次,我们提出了一种使用黑白(B/W)相机的颜色纹理提取方法和一种像素级投影颜色调整方法。第三,我们给出了最佳投影条纹调制/背景强度比。第四,我们提出了一种估计物体表面反射率和环境光干扰的方法,一种在像素级调整投影强度的方法以及一种估计最佳曝光时间的方法。实验表明,与现有方法相比,所提出的方法不仅可以获得高质量的捕获图像,而且具有更高的测量效率和更广泛的应用范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57ca/7907344/3cf93e38d2a7/41598_2021_83779_Fig1_HTML.jpg

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