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Free viewpoint video synthesis and presentation of sporting events for mixed reality entertainment
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Source The Australasian Computing Education Conference; Vol. 74 archive
Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology table of contents
Singapore
Pages: 42 - 50  
Year of Publication: 2004
ISBN:1-58113-882-2
Authors
Naho Inamoto  Keio University
Hideo Saito  Keio University
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a new framework for arbitrary view synthesis and presentation of sporting events for mixed reality entertainment. In accordance with the viewpoint position of an observer, virtual view image of sporting scene is generated by view interpolation among multiple videos captured at real stadium. Then the synthesized sporting scene is overlaid onto a desktop stadium model in the real world via HMD. This makes it possible to watch the event in front of the observer. Projective geometry between cameras is used for virtual view generation of the dynamic scene and geometric registration between the real world and the virtual view image of sporting scene. The proposed method does not need to calibrate multiple video cameras for capturing the event and the HMD camera. Therefore it can be applied even to dynamic events in a large space and enables observation with immersive impression. The proposed approach leads to make a new type of mixed reality entertainment for sporting events.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
R. T. Azuma. A survey of augmented reality. Presence, 6(4):355--385, 1997.
 
3
M. Bajura, H. Fuchs, and R. Ohbuchi. Merging virtual objects with the real world: Seeing utlrasound. Commun of the ACM, 36(7):52--62, 1993.
 
4
5
 
6
7
 
8
CyberPlay. http://www.orad.co.il.
 
9
W. Du, H. Li, and A. Gagalowicz. Video based 3d soccer scene reconstruction. Proc. of Mirage 2003, pages 70--75, Mar 2003.
 
10
 
11
 
12
N. Inamoto and H. Saito. Fly through view video generation of soccer scene. International Workshop on Entertainment Computing (IWEC2002) Workshop Note, pages 94--101, May 2002.
 
13
N. Inamoto and H. Saito. Intermediate view generation of soccer scene from multiple videos. Proc. of International Conference on Pattern Recognition (ICPR2002), 2:713--716, August 2002.
 
14
N. Inamoto and H. Saito. Fly-through viewpoint video system for multi-view soccer movie using viewpoint interpolation. Proc. of Visual Communications and Image Processing (VCIP2003), SPIE, 5150(122), July 2003.
 
15
 
16
 
17
I. Kitahara, Y. Ohta, H. Saito, S. Akimichi, T. Ono, and T. Kanade. Recording multiple videos in a large-scale space for large-scale virtualized reality. Proc. of International Display Workshops (AD/IDW'01)s, pages 1377--1380, 2001.
 
18
 
19
 
20
 
21
 
22
H. Saito, S. Baba, and T. Kanade. Appearance-based virtual view generation from multicamera videos captured in the 3-d room. IEEE Trans. on Multimedia, 5(3):303--316, September 2003.
23
 
24
 
25
 
26
G. Simon, A. W. Fitzgibbob, and A. Zisserman. Markerless tracking using planar structures in the scene. Proc. of the International Symposium on Augmented Reality, pages 120--128, Oct 2000.
 
27
R. Y. Tsai. A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Journal of Robotics and Automation, RA-3(4):323--344, August 1987.
 
28
M. D. Wheeler, Y. Sato, and K. Ikeuchi. Consensus surfaces for modeling 3d objects from multiple range images. DARPA Image Understanding Workshop, 1997.
 
29
S. Yaguchi and H. Saito. Arbitrary viewpoint video synthesis from multiple uncalibrated cameras. IEEE Trans. on Systems, Man and Cybernetics, PartB, 34(1):430--439, February 2004.

Collaborative Colleagues:
Naho Inamoto: colleagues
Hideo Saito: colleagues