Literature DB >> 30732268

A high precision 3D reconstruction method for bend tube axis based on binocular stereo vision.

Junhua Sun, Yue Zhang, Xiaoqi Cheng.   

Abstract

Previous stereo-vision based methods for measuring bent tube axis usually approximate the centerlines of image contours as the axis projection, inevitably resulting in reconstruction errors. This phenomenon is more significant as the tube diameter increases. In this paper, a perspective projection model for any cross section of bent tube was established. Based on this model, a way to locate the precise projected position on image planes of points laying on axis was proposed and 3D coordinates of axis points are reconstructed by binocular stereo vision. We measured three bent tubes with different diameters. Compared with classical approaches, this method effectively reduces the reconstruction errors with measurement accuracy practically independent of diameter.

Entities:  

Year:  2019        PMID: 30732268     DOI: 10.1364/OE.27.002292

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Image Recognition of Sports Athletes' High-Intensity Sports Injuries Based on Binocular Stereo Vision.

Authors:  Dongdong Chen
Journal:  Comput Intell Neurosci       Date:  2022-07-31

2.  A Fully Convolutional Network-Based Tube Contour Detection Method Using Multi-Exposure Images.

Authors:  Xiaoqi Cheng; Junhua Sun; Fuqiang Zhou
Journal:  Sensors (Basel)       Date:  2021-06-14       Impact factor: 3.576

  2 in total

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