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

Yuko Uematsu, Hideo Saito

研究成果: Conference contribution

8 引用 (Scopus)

抄録

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.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ155-162
ページ数8
3617 LNCS
DOI
出版物ステータスPublished - 2005
イベント13th International Conference on Image Analysis and Processing, ICIAP 2005 - Cagliari, Italy
継続期間: 2005 9 62005 9 8

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3617 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other13th International Conference on Image Analysis and Processing, ICIAP 2005
Italy
Cagliari
期間05/9/605/9/8

Fingerprint

Augmented reality
Augmented Reality
Registration
Arbitrary
Cameras
Projective geometry
Image Sequence
Projective Space
Geometry
Assign
Camera
Vision
Unknown
Estimate

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

これを引用

Uematsu, Y., & Saito, H. (2005). Vision-based registration for augmented reality with integration of arbitrary multiple planes. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 3617 LNCS, pp. 155-162). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 3617 LNCS). https://doi.org/10.1007/11553595_19

Vision-based registration for augmented reality with integration of arbitrary multiple planes. / Uematsu, Yuko; Saito, Hideo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 3617 LNCS 2005. p. 155-162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 3617 LNCS).

研究成果: Conference contribution

Uematsu, Y & Saito, H 2005, Vision-based registration for augmented reality with integration of arbitrary multiple planes. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻. 3617 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 3617 LNCS, pp. 155-162, 13th International Conference on Image Analysis and Processing, ICIAP 2005, Cagliari, Italy, 05/9/6. https://doi.org/10.1007/11553595_19
Uematsu Y, Saito H. Vision-based registration for augmented reality with integration of arbitrary multiple planes. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 3617 LNCS. 2005. p. 155-162. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11553595_19
Uematsu, Yuko ; Saito, Hideo. / Vision-based registration for augmented reality with integration of arbitrary multiple planes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 3617 LNCS 2005. pp. 155-162 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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