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Spatially-encoded far-field representations for interactive walkthroughs
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Source International Multimedia Conference; Vol. 9 archive
Proceedings of the ninth ACM international conference on Multimedia table of contents
Ottawa, Canada
Session: Exploiting Video table of contents
Pages: 348 - 357  
Year of Publication: 2001
ISBN:1-58113-394-4
Authors
Andrew Wilson  University of North Carolina, Chapel Hill, NC
Ketan Mayer-Patel  University of North Carolina, Chapel Hill, NC
Dinesh Manocha  University of North Carolina, Chapel Hill, NC
Sponsors
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGCOMM: ACM Special Interest Group on Data Communication
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

We introduce the notion of spatially encoded video and use it for efficiently representing image-based impostors for interactive walkthroughs. As part of a pre-process, we automatically decompose the model and compute the far-fields. The resulting texture images are organized along multiple dimensions and can be accessed in a user-steered order at interactive rates. Our encoding algorithm can compress the impostors size by two orders of magnitude. Furthermore, the storage cost for additional impostors or samples grows sub-linearly. The resulting system has been applied to a complex CAD environment composed of 13 million triangles. We are able to render it at interactive rates on a PC with little loss in image quality.


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.

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Collaborative Colleagues:
Andrew Wilson: colleagues
Ketan Mayer-Patel: colleagues
Dinesh Manocha: colleagues