Computers and 3D graphics applications are continuously increasing in power, memory, and rendering capabilities, making larger and more complex 3D scenes possible. Domains such as medical visualization, architecture and urban design, geospatial scanning, astrophysics, biochemistry, and abstract data analysis are beginning to consider massive datasets. Many of these datasets contain objects that exist at multiple scales, that is, the objects have meaningful observable properties at scales that are one or more orders of magnitude apart.
This project investigates the properties and qualities of multiscale datasets in an effort to gain critical insights needed, in user experience and understanding, to make progress in increasingly complex contexts.
Rhys Goldstein, Michael Glueck & Azam Khan. (2011).
Real-Time Compression of Time Series Building Performance Data
2011 Conference Proceedings:
IBPSA-AIRAH Building Simulation Conference.
pp. 1057-1064.
Michael Glueck & Azam Khan. (2011).
Considering Multiscale Scenes to Elucidate Problems Encumbering 3D Intellection and Navigation
Artificial Intelligence for Engineering Design, Analysis and Manufacturing (Cambridge University Press).
November 2011, 25(4).
pp. 393-407.
Special Issue on Representing and Reasoning About 3D Space.
James McCrae, Michael Glueck, Tovi Grossman, Azam Khan & Karan Singh. (2010).
Exploring the Design Space of Multiscale 3D Orientation
AVI 2010 Conference Proceedings:
Advanced Visual Interfaces Conference.
pp. 81 - 88.
James McCrae, Igor Mordatch, Michael Glueck & Azam Khan. (2009).
Multiscale 3D Navigation
I3D 2009 Conference Proceedings:
ACM Symposium on Interactive 3D Graphics.
pp. 7-14.
Michael Glueck, Keenan Crane, Sean Anderson, Andres Rutnik & Azam Khan. (2009).
Multiscale 3D Reference Visualization
I3D 2009 Conference Proceedings:
ACM Symposium on Interactive 3D Graphics.
pp. 225-232.
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