Modeling and analysis of empirical data in collaborative environments

A number of recent research projects have as their goal the creation of a collaborative scientific visualization environment, where scientists, engineers, and physicians work together on modeling and analyzing empirical data using an integrated set of tools and techniques from computer graphics, com...

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Bibliographic Details
Published in:Communications of the ACM 1992-06, Vol.35 (6), p.74-84
Main Authors: Carlbom, Ingrid, Hsu, William M, Klinker, Gudrun, Waters, Keith, Doyle, Michael, Gettys, Jim, Harris, Kristen M, Levergood, Thomas M, Palmer, Ricky, Palmer, Larry, Picart, Marc, Terzopoulos, Demetri, Tonnesen, David, Vannier, Michael, Wallace, Greg
Format: Magazinearticle
Language:English
Subjects:
Algorithms
Applications
Collaboration
Computer based modeling
Computer graphics
Computer networks
Engineering
Health care
Image processing
Image processing system
Innovations
Integrated software
Medical imaging
Medical research
Medicine, Experimental
Microscopy
Neurosciences
New products
Registration
Science
Simulation
Surgeons
Surgery
Three-dimensional graphics
Trends
Vision systems
Visualization
Visualization (Computers)
Work group computing
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Summary:A number of recent research projects have as their goal the creation of a collaborative scientific visualization environment, where scientists, engineers, and physicians work together on modeling and analyzing empirical data using an integrated set of tools and techniques from computer graphics, computer vision, and image processing. Specific projects include: 1. interactive modeling and visualization of medical and biological data, 2. three-dimensional shape acquisition, modeling, and manipulation, culminating in three-dimensional faxes, and 3. teleconferencing with personable computers. These projects are demonstrated at the SIGGRAPH '92 Showcase. The primary platform for the demonstrations is the DECmmp 12000, a massively parallel processor, with several DECstations networked over fiber distributed data interface. Some basic capabilities must be added to current scientific visualization environments to make them more applicable to a wide range of data analysis problems, including a large number of data presentation modalities and automatic and semiautomatic image and data reconstruction techniques.
ISSN:0001-0782
1557-7317
DOI:10.1145/129888.129893