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Managing 3D: our next problem
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International Multimedia Conference archive
Proceedings of the international workshop on Workshop on multimedia information retrieval table of contents
Augsburg, Bavaria, Germany
Pages: 1 - 1  
Year of Publication: 2007
ISBN:978-1-59593-778-0
Author
Michael E. Lesk  Rutgers University, New Brunswick, NJ
Sponsors
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

Museums in the world contain billions of objects (the Smithsonian alone has some 250 million things). Three-dimensional scanning is now cheap, and we can expect to see a flood of scanned solid objects join the even more numerous images and videos that we now have. Although we haven't yet solved the problems of managing two- dimensional scanned images, we're about to face the more complex problem of 3-D objects.


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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Niblack, W.; Barber, R.; Equitz, W.; Flickner, M.; Glassman, E.; Petkovic, D.; Yanker, P.; Faloutsos, C.; & Taubin, G. (The QBIC project: Querying images by content using color, texture, and shape. In A. A. Jamberdino & W. Niblack (Eds.), IMAGE storage and retrieval systems (Proceedings of the SPIE--the International Society for Optical Engineering) (vol. 1662, pp. 173--181). Bellingham, WA. 1992.
 
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Toshiro Matsumoto, Kozaburo Hachimura and Minako Nakamura: Generating Labanotation from Motion-captured Human Body Motion Data, Proc. International Workshop on Recreating the Past-Visualization and Animation of Cultural Heritage --, pp. 118--123, 2001
 
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Rota, Nathanael and Thonnat, Monique. Activity recognition from Video Sequences Using Declarative Models. Proc. ECAI, pp. 673--680, 2000.
 
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