One-shot range scanner using coplanarity constraints

Ryo Furukawa, Huynh Quang Huy Viet, Hiroshi Kawasaki, Ryusuke Sagawa, Yasushi Yagi

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

7 Citations (Scopus)

Abstract

Methods for scanning dynamic scenes are important in many applications and many systems using structured light have been proposed. Many of these systems use either multiple patterns projected rapidly or a single pattern. Although the former allows dense reconstruction with a sufficient number of patterns, it has difficulty in capturing objects in rapid motion. The latter technique uses only a single pattern and have no such difficulties, however, they often have stability problems and their result tend to have low resolution. In this paper, we develop a system to achieve dense and accurate 3D measurement from only a single image. The proposed system also has the advantage of being robust in terms of image processing.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages1524-1527
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

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

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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    Furukawa, R., Viet, H. Q. H., Kawasaki, H., Sagawa, R., & Yagi, Y. (2008). One-shot range scanner using coplanarity constraints. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 1524-1527). [4712057] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4712057