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A novel stereo vision sensor for fast moving objects

  • Suining Wu
  • , Zhen Liu
  • , Yiming Ren
  • , Qun Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a novel stereo vision sensor for the automatic 3-D dynamic surface measurement, which is able to simultaneously acquire the 2-D scan image and the 3-D reconstruction results. The proposed system mainly concludes a line scan camera, a frame camera and two line lasers. Due to the application of line lasers, the proposed system is able to work accurate and stable under complex lighting condition. About our system, the view plane of line scan camera and the light plane of line laser are in coincidence. First, the calibration of intrinsic, extrinsic parameters and the light plane coefficients are obtained. Epipolar line is calculated to extract the accurate position of image point corresponding to each pixel of line scan camera. Finally, the 3-D shape is reconstructed according to binocular stereo vision model. The 2-D image and 3-D façade information can be synchronously acquired by scanning over objects. Physical experiments show that the proposed stereo vision sensor can provide robust and accurate results.

Original languageEnglish
Title of host publicationICMVA 2018 - Proceedings of 2018 International Conference on Machine Vision and Applications
PublisherAssociation for Computing Machinery
Pages41-45
Number of pages5
ISBN (Print)9781450363815
DOIs
StatePublished - 23 Apr 2018
Event2018 International Conference on Machine Vision and Applications, ICMVA 2018 - Singapore, Singapore
Duration: 23 Apr 201825 Apr 2018

Publication series

NameACM International Conference Proceeding Series
VolumePart F137705

Conference

Conference2018 International Conference on Machine Vision and Applications, ICMVA 2018
Country/TerritorySingapore
CitySingapore
Period23/04/1825/04/18

Keywords

  • 2-D scan image
  • 3-D surface reconstruction
  • Dynamic measurement
  • Stereo vision sensor

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