Abstract
This paper presents "On-line AR Baseball Presentation System", which is a vision-based AR application for entertainment. In this system, a user can watch a virtual baseball game scene on a real baseball field model placed on a tabletop through a web-camera attached to a hand-held LCD monitor. The virtual baseball scene is synthesized from an input history data of an actual baseball game. Visualizing the input history data can help the user to understand the contents of the game. For aligning the coordinate of the virtual baseball game scene with the coordinate of the real field model, we use multiple planar markers manually distributed into the real field model. In contrast with most of AR approaches using multiple markers, we do not need any manual measurement of the geometrical relationship of the markers, so that the user can easily started and enjoy this system.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 163-174 |
| Number of pages | 12 |
| Volume | 4282 LNCS |
| DOIs | |
| Publication status | Published - 2006 |
| Event | 16th International Conference on Artificial Reality and Telexistence, ICAT 2006 - Hangzhou, China Duration: 2006 Nov 29 → 2006 Dec 1 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4282 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 16th International Conference on Artificial Reality and Telexistence, ICAT 2006 |
|---|---|
| Country | China |
| City | Hangzhou |
| Period | 06/11/29 → 06/12/1 |
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ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
AR baseball presentation system with integrating multiple planar markers. / Uematsu, Yuko; Saito, Hideo.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4282 LNCS 2006. p. 163-174 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4282 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - AR baseball presentation system with integrating multiple planar markers
AU - Uematsu, Yuko
AU - Saito, Hideo
PY - 2006
Y1 - 2006
N2 - This paper presents "On-line AR Baseball Presentation System", which is a vision-based AR application for entertainment. In this system, a user can watch a virtual baseball game scene on a real baseball field model placed on a tabletop through a web-camera attached to a hand-held LCD monitor. The virtual baseball scene is synthesized from an input history data of an actual baseball game. Visualizing the input history data can help the user to understand the contents of the game. For aligning the coordinate of the virtual baseball game scene with the coordinate of the real field model, we use multiple planar markers manually distributed into the real field model. In contrast with most of AR approaches using multiple markers, we do not need any manual measurement of the geometrical relationship of the markers, so that the user can easily started and enjoy this system.
AB - This paper presents "On-line AR Baseball Presentation System", which is a vision-based AR application for entertainment. In this system, a user can watch a virtual baseball game scene on a real baseball field model placed on a tabletop through a web-camera attached to a hand-held LCD monitor. The virtual baseball scene is synthesized from an input history data of an actual baseball game. Visualizing the input history data can help the user to understand the contents of the game. For aligning the coordinate of the virtual baseball game scene with the coordinate of the real field model, we use multiple planar markers manually distributed into the real field model. In contrast with most of AR approaches using multiple markers, we do not need any manual measurement of the geometrical relationship of the markers, so that the user can easily started and enjoy this system.
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U2 - 10.1007/11941354_18
DO - 10.1007/11941354_18
M3 - Conference contribution
AN - SCOPUS:76649141316
SN - 3540497765
SN - 9783540497769
VL - 4282 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 163
EP - 174
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -