Dense single-shot 3D scanning via stereoscopic fringe analysis

Pengyu Cong, Zhiwei Xiong, Yueyi Zhang, Shenghui Zhao, Feng Wu

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

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Abstract

In this paper, we present a novel single-shot method for dense and accurate 3D scanning. Our method takes advantage of two conventional techniques, i.e., stereo and Fourier fringe analysis (FFA). While FFA is competent for high-density and high-precision phase measurement, stereo solves the phase ambiguity caused by the periodicity of the fringe. By jointly using the intensity images and unwrapped phase maps from stereo, the pixel-wise absolute depth can be obtained through a sparse matching process efficiently and reliably. Due to its single-shot property and low complexity, the proposed method facilitates dense and accurate 3D scanning in time-critical applications.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PublisherIEEE Computer Society
Pages3627-3631
Number of pages5
ISBN (Print)9781479923410
DOIs
Publication statusPublished - 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 15 Sept 201318 Sept 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period15/09/1318/09/13

Keywords

  • 3D scanning
  • Fourier fringe analysis
  • absolute depth
  • phase unwrapping
  • stereo

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Cong, P., Xiong, Z., Zhang, Y., Zhao, S., & Wu, F. (2013). Dense single-shot 3D scanning via stereoscopic fringe analysis. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 3627-3631). Article 6738748 (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings). IEEE Computer Society. https://doi.org/10.1109/ICIP.2013.6738748