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High performance imaging using large camera arrays
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Source ACM Transactions on Graphics (TOG) archive
Volume 24 ,  Issue 3  (July 2005) table of contents
Proceedings of ACM SIGGRAPH 2005
SESSION: Capturing reality I table of contents
Pages: 765 - 776  
Year of Publication: 2005
ISSN:0730-0301
Also published in ...
Authors
Bennett Wilburn  Stanford University
Neel Joshi  Stanford University
Vaibhav Vaish  Stanford University
Eino-Ville Talvala  Stanford University
Emilio Antunez  Stanford University
Adam Barth  Stanford University
Andrew Adams  Stanford University
Mark Horowitz  Stanford University
Marc Levoy  Stanford University
Publisher
ACM  New York, NY, USA
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ABSTRACT

The advent of inexpensive digital image sensors and the ability to create photographs that combine information from a number of sensed images are changing the way we think about photography. In this paper, we describe a unique array of 100 custom video cameras that we have built, and we summarize our experiences using this array in a range of imaging applications. Our goal was to explore the capabilities of a system that would be inexpensive to produce in the future. With this in mind, we used simple cameras, lenses, and mountings, and we assumed that processing large numbers of images would eventually be easy and cheap. The applications we have explored include approximating a conventional single center of projection video camera with high performance along one or more axes, such as resolution, dynamic range, frame rate, and/or large aperture, and using multiple cameras to approximate a video camera with a large synthetic aperture. This permits us to capture a video light field, to which we can apply spatiotemporal view interpolation algorithms in order to digitally simulate time dilation and camera motion. It also permits us to create video sequences using custom non-uniform synthetic apertures.


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
Bayer, B., 1976. Color imaging array. U. S. Patent 3,971,065.
 
3
Black, M., and Anandan, P. 1993. A framework for the robust estimation of optical flow. In Proc. ICCV 1993, 231--236.
 
4
 
5
 
6
7
 
8
 
9
Kang, S., Uyttendaele, M., Winder, S., and Szeliski, R. 2003. High dynamic range video. In Proc. SIGGRAPH 2003, 319--325.
10
 
11
 
12
 
13
Schechner, Y., and Nayar, S. 2001. Generalized mosaicing. In Proc. ICCV 2001, 17--24.
 
14
 
15
S. Mann, and R. W. Picard. 1994. Being 'undigital' with digital cameras: Extending dynamic range by combining differently exposed pictures. Tech. Rep. 323, M.I.T. Media Lab Perceptual Computing Section, Boston, Massachusetts. Also appears, IS&T's 48th annual conference, Cambridge, Massachusetts, May 1995.
 
16
 
17
Szeliski, R. 1994. Image mosaicing for tele-reality applications. In WACV 1994, 44--53.
 
18
Tao, H., Sawhney, H., and Kumar, R. 2001. A global matching framework for stereo computation. In Proc. ICCV 2001, 532--539.
 
19
Taylor, D. 1996. Virtual camera movement: The way of the future? American Cinematographer 77, 9 (September), 93--100.
 
20
Vaish, V., Wilburn, B., Joshi, N., and Levoy, M. 2004. Using plane + parallax for calibrating dense camera arrays. In Proc. CVPR 2004, 2--9.
 
21
Vaish, V., Garg, G., Talvala, E., Antunez, E., Wilburn, B., Horowitz, M., and Levoy, M. 2005. Synthetic aperture focusing using a shear-warp factorization of the viewing transform. In Proc. A3DISS 2005.
 
22
Wilburn, B., Smulski, M., Lee, H., and Horowitz, M. 2002. The light field video camera. In Media Processors 2002, vol. 4674 of Proc. SPIE, 29--36.
 
23
Wilburn, B., Joshi, N., Vaish, V., Levoy, M., and Horowitz, M. 2004. High speed video using a dense array of cameras. In Proc. CVPR 2004, 294--301.
 
24
 
25
Zhang, C., and Chen, T. 2004. A self-reconfigurable camera array. In Eurographics Symposium on Rendering, 243--254.
 
26
Zhang, C., and Chen, T. 2004. View-dependent non-uniform sampling for image-based rendering. In Proc. ICIP 2004, 2471--2474.
 
27
Zhang, Y., and Kambhamettu, C. 2001. On 3d scene flow and structure estimation. In Proc. CVPR 2001, 778--785.
 
28
Zitnick, C., Kang, S., Uyttendaele, M., Winder, S., and Szeliski, R. 2004. High-quality video view interpolation using a layered representation. In Proc. SIGGRAPH 2004, 600--608.

CITED BY  31

Collaborative Colleagues:
Bennett Wilburn: colleagues
Neel Joshi: colleagues
Vaibhav Vaish: colleagues
Eino-Ville Talvala: colleagues
Emilio Antunez: colleagues
Adam Barth: colleagues
Andrew Adams: colleagues
Mark Horowitz: colleagues
Marc Levoy: colleagues