Literature DB >> 33549853

3D surface reconstruction of small height object based on thin structured light scanning.

Jinghui Liu1, Yuezong Wang2.   

Abstract

Aiming at the problem of 3D surface reconstruction of small height objects, a method based on the scanning principle with thin structured light is proposed. The laser fringe is produced by a laser light source. It scans the surface of small height object under the control of a precise motion control system, and is integrated with a stereo light microscope and two cameras to form a complete structured light profilometry system. This method is very suitable for 3D surface reconstruction of small height objects. In order to deal with the phenomenon of "cracking" and local uneven brightness in microscope fringe image, the fringe image sequence is captured under different camera exposure parameters, and the quality of fringe image is improved by image fusion. The location of pixels on the center line of laser stripes is detected by the Loess local second-order fitting method, and the positions of these pixels are smoothed and predicted by using the Lowess local linear fitting method. The deformation of the laser stripe center curve is calculated by constructing a baseline, and the 3D surface reconstruction of the object with small height is realized in the image space. Taking the small characters on the surface of Chinese coins and human hair as test samples, their 3D surfaces are constructed by using the method proposed in this paper. The reconstructed 3D surface shapes are highly consistent with the real 3D surface shapes of objects.
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  3D shape reconstruction; Fringe pattern analysis; Microscopic vision; Optical profilometry; Small scale reconstruction

Year:  2021        PMID: 33549853     DOI: 10.1016/j.micron.2021.103022

Source DB:  PubMed          Journal:  Micron        ISSN: 0968-4328            Impact factor:   2.251


  1 in total

1.  An Intelligent Analysis Method for 3D Wheat Grain and Ventral Sulcus Traits Based on Structured Light Imaging.

Authors:  Chenglong Huang; Zhijie Qin; Xiangdong Hua; Zhongfu Zhang; Wenli Xiao; Xiuying Liang; Peng Song; Wanneng Yang
Journal:  Front Plant Sci       Date:  2022-04-13       Impact factor: 6.627

  1 in total

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