Vision-based registration for augmented reality with integration of arbitrary multiple planes

Yuko Uematsu, Hideo Saito

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

8 Citations (Scopus)

Abstract

We propose a novel vision-based registration approach for Augmented Reality with integration of arbitrary multiple planes. In our approach, we estimate the camera rotation and translation by an uncalibrated image sequence which includes arbitrary multiple planes. Since the geometrical relationship of those planes is unknown, for integration of them, we assign 3D coordinate system for each plane independently and construct projective 3D space defined by projective geometry of two reference images. By integration with the projective space, we can use arbitrary multiple planes, and achieve high-accurate registration for every position in the input images.

Original languageEnglish
Title of host publicationImage Analysis and Processing - ICIAP 2005, 13th International Conference, Proceedings
Pages155-162
Number of pages8
DOIs
Publication statusPublished - 2005 Dec 1
Event13th International Conference on Image Analysis and Processing, ICIAP 2005 - Cagliari, Italy
Duration: 2005 Sep 62005 Sep 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3617 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Image Analysis and Processing, ICIAP 2005
CountryItaly
CityCagliari
Period05/9/605/9/8

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Uematsu, Y., & Saito, H. (2005). Vision-based registration for augmented reality with integration of arbitrary multiple planes. In Image Analysis and Processing - ICIAP 2005, 13th International Conference, Proceedings (pp. 155-162). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3617 LNCS). https://doi.org/10.1007/11553595_19