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Proceedings Paper

Environmental modeling using omnidirectional vision sensors
Author(s): Kim C. Ng; Sadahiro Iwamoto; Rick Capella; Mohan M. Trivedi
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Paper Abstract

In this note we demonstrate the utility of omni-directional images for efficiently deriving high-resolution environment models. Omni- Directional Vision Sensors (ODVS), which have a wide field of view, are the most suitable for immersive virtual walk-through in a remote environment. In this paper, we show omni-directional images that are acquired using high-resolution digital camera. Also we show the synthetic omni-directional images generated using 3D graphics methods. The high-resolution and the synthetic images provide invaluable high-quality input image for visual modeling research use.

Paper Details

Date Published: 22 November 1999
PDF: 4 pages
Proc. SPIE 3845, Multimedia Systems and Applications II, (22 November 1999); doi: 10.1117/12.371231
Show Author Affiliations
Kim C. Ng, Univ. of California/San Diego (United States)
Sadahiro Iwamoto, Univ. of California/San Diego (United States)
Rick Capella, Univ. of California/San Diego (United States)
Mohan M. Trivedi, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 3845:
Multimedia Systems and Applications II
Andrew G. Tescher; Bhaskaran Vasudev; V. Michael Bove; Barbara Derryberry, Editor(s)

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