Single color one-shot scan using topology information

Hiroshi Kawasaki, Hitoshi Masuyama, Ryusuke Sagawa, Ryo Furukawa

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

1 Citation (Scopus)

Abstract

In this paper, we propose a new technique to achieve one-shot scan using single color and static pattern projector; such a method is ideal for acquisition of a moving object. Since a projector-camera systems generally have uncertainties on retrieving correspondences between the captured image and the projected pattern, many solutions have been proposed. Especially for one-shot scan, which means that only a single image is used for reconstruction, positional information of a pixel on the projected pattern should be encoded by spatial and/or color information. Although color information is frequently used for encoding, it is severely affected by texture and material of the object. In this paper, we propose a technique to solve the problem by using topological information instead of colors. Our technique successfully realizes one-shot scan with monochrome pattern.

Original languageEnglish
Title of host publicationComputer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
PublisherSpringer Verlag
Pages486-495
Number of pages10
EditionPART 3
ISBN (Print)9783642338847
DOIs
Publication statusPublished - Jan 1 2012
Externally publishedYes
Event12th European Conference on Computer Vision, ECCV 2012 - Florence, Italy
Duration: Oct 7 2012Oct 13 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume7585 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th European Conference on Computer Vision, ECCV 2012
CountryItaly
CityFlorence
Period10/7/1210/13/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kawasaki, H., Masuyama, H., Sagawa, R., & Furukawa, R. (2012). Single color one-shot scan using topology information. In Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings (PART 3 ed., pp. 486-495). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7585 LNCS, No. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-642-33885-4_49