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基于数字图像相关技术的柱面表面重构。

Reconstruction of Cylindrical Surfaces Using Digital Image Correlation.

机构信息

Department of Statistics, São Paulo State University UNESP, 305, Presidente Prudente 19060-900, Brazil.

Department of Cartography, São Paulo State University UNESP, 305, Presidente Prudente 19060-900, Brazil.

出版信息

Sensors (Basel). 2018 Nov 29;18(12):4183. doi: 10.3390/s18124183.

DOI:10.3390/s18124183
PMID:30501036
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6308718/
Abstract

A technique for the reconstruction of cylindrical surfaces using optical images with an extension of least squares matching is presented. This technique is based on stereo-image acquisition of a cylindrical object, and it involves displacing the camera following the object length. The basic concept behind this technique is that variations in the camera viewpoint over a cylindrical object produce perspective effects similar to a conic section in an image sequence. Such parallax changes are continuous and can be modelled by a second-order function, which is combined with an adaptive least squares matching (ALSM) for the 3D object reconstruction. Using this concept, a photogrammetric intersection with only two image patches can be used to model a cylindrical object with high accuracy. Experiments were conducted with a cylinder on a panel with coded targets to assess the 3D reconstruction accuracy. The accuracy assessment was based on a comparison between the estimated diameter and the diameter directly measured over the cylinder. The difference between the diameters indicated an accuracy of 1/10 mm, and the cylindrical surface was entirely reconstructed.

摘要

提出了一种使用带有最小二乘匹配扩展的光学图像重建圆柱面的技术。该技术基于圆柱物体的立体图像采集，涉及沿物体长度移动相机。该技术的基本概念是，相机在圆柱物体上的视点变化会在图像序列中产生类似于圆锥截面的透视效果。这种视差变化是连续的，可以用二阶函数来建模，该函数与自适应最小二乘匹配（ALSM）相结合，用于 3D 物体重建。使用这个概念，仅使用两个图像补丁的摄影测量交点就可以用于以高精度建模圆柱物体。使用带有编码目标的面板上的圆柱进行了实验，以评估 3D 重建精度。精度评估基于对估计直径和直接在圆柱上测量的直径之间的比较。直径之间的差异表明精度为 1/10 毫米，并且完全重建了圆柱面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/6d29f965482e/sensors-18-04183-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/1077cbb16572/sensors-18-04183-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/1d31b5194d2c/sensors-18-04183-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/5d23da7c05df/sensors-18-04183-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/55ec06d6e87d/sensors-18-04183-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/33d8033f69e4/sensors-18-04183-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/4622e2a5f7bb/sensors-18-04183-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/a833b95559ad/sensors-18-04183-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/7be2ac96b876/sensors-18-04183-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/68cf341721bc/sensors-18-04183-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/efd46c0e0fb1/sensors-18-04183-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/6d29f965482e/sensors-18-04183-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/1077cbb16572/sensors-18-04183-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/1d31b5194d2c/sensors-18-04183-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/edcc877b26c1/sensors-18-04183-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/5d23da7c05df/sensors-18-04183-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/55ec06d6e87d/sensors-18-04183-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/33d8033f69e4/sensors-18-04183-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/4622e2a5f7bb/sensors-18-04183-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/a833b95559ad/sensors-18-04183-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/7be2ac96b876/sensors-18-04183-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/68cf341721bc/sensors-18-04183-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/efd46c0e0fb1/sensors-18-04183-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c1/6308718/6d29f965482e/sensors-18-04183-g012.jpg

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