Referenced Items are not available for this document.
This paper proposes a methodology for employing collaborative, immersive virtual environments as a high-end visualization interface for massive data-sets. The methodology employs feature detection, partitioning, summarization and decimation to significantly cull massive data-sets. These reduced data-sets are then distributed to the remote CAVEs, ImmersaDesks and desktop workstations for viewing. The paper also discusses novel techniques for collaborative visualization and meta-data creation
Published in:
High Performance Distributed Computing, 1999. Proceedings. The Eighth International Symposium on
Date of Conference: 1999
- Page(s):
- 62 - 69
- Meeting Date :
- 03 Aug 1999-06 Aug 1999
- ISSN :
- 1082-8907
- Print ISBN:
- 0-7803-5681-0
- INSPEC Accession Number:
- 6409726
- Conference Location :
- Redondo Beach, CA
- Digital Object Identifier :
- 10.1109/HPDC.1999.805283
- Product Type:
- Conference Publications
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