Precise 3-D measurement using uncalibrated pattern projection

Rui Ishiyama, Takayuki Okatani, Koichiro Deguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

Three-dimensional measurement methods using structured light projection enable accurate depth measurements by decoding the disparity between the projector-camera pair from an observed pattern. However, actual projection devices have various systematic error sources that distort the structured light pattern, directly affecting the accuracy of 3-D measurements. We propose a new method of measuring depth that is not affected by the systematic errors in the projected pattern. In our method, the image of a pattern projected onto a plane is referenced to cancel errors. Based on the invariance of the cross-ratio under perspective projections, depth is obtained from the disparity determined on the referenced image. In experiments, our method removed the systematic errors and improved the accuracy of depth measurement without any extra calibration or measurement.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
PublisherIEEE Computer Society
Pages225-228
Number of pages4
ISBN (Print)1424414377, 9781424414376
DOIs
Publication statusPublished - 2006
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: 2007 Sep 162007 Sep 19

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume1
ISSN (Print)1522-4880

Other

Other14th IEEE International Conference on Image Processing, ICIP 2007
CountryUnited States
CitySan Antonio, TX
Period07/9/1607/9/19

Keywords

  • 3-D measurement
  • Calibration
  • Cross-ratio
  • Invariants
  • Phase
  • Structured light
  • Systematic error

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Ishiyama, R., Okatani, T., & Deguchi, K. (2006). Precise 3-D measurement using uncalibrated pattern projection. In 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings (pp. 225-228). [4378932] (Proceedings - International Conference on Image Processing, ICIP; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ICIP.2007.4378932