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 |
| 巻 | 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 6 → 2005 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) |
|---|---|
| 巻 | 3617 LNCS |
| ISSN（印刷物） | 03029743 |
| ISSN（電子版） | 16113349 |
Other
| Other | 13th International Conference on Image Analysis and Processing, ICIAP 2005 |
|---|---|
| 国 | Italy |
| 市 | Cagliari |
| 期間 | 05/9/6 → 05/9/8 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
これを引用
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
}
TY - GEN
T1 - Vision-based registration for augmented reality with integration of arbitrary multiple planes
AU - Uematsu, Yuko
AU - Saito, Hideo
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33745136476&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745136476&partnerID=8YFLogxK
U2 - 10.1007/11553595_19
DO - 10.1007/11553595_19
M3 - Conference contribution
AN - SCOPUS:33745136476
SN - 3540288694
SN - 9783540288695
VL - 3617 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 155
EP - 162
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -