Copy and paste the citation for this publication:
MLA
Michael Glueck, Keenan Crane, Sean Anderson, Andres Rutnik, and Azam Khan. 2009. Multiscale 3D reference visualization. In Proceedings of the 2009 symposium on Interactive 3D graphics and games (I3D '09). ACM, New York, NY, USA, 225-232. DOI=http://dx.doi.org/10.1145/1507149.1507186
BibTeX
@inproceedings{Glueck:2009:MRV:1507149.1507186,
 author = {Glueck, Michael and Crane, Keenan and Anderson, Sean and Rutnik, Andres and Khan, Azam},
 title = {Multiscale 3D Reference Visualization},
 booktitle = {Proceedings of the 2009 Symposium on Interactive 3D Graphics and Games},
 series = {I3D '09},
 year = {2009},
 isbn = {978-1-60558-429-4},
 location = {Boston, Massachusetts},
 pages = {225--232},
 numpages = {8},
 url = {http://doi.acm.org/10.1145/1507149.1507186},
 doi = {10.1145/1507149.1507186},
 acmid = {1507186},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {3D navigation, 3D widgets, desktop 3D environments, virtual camera},
}

Multiscale 3D Reference Visualization

ACM Symposium on Interactive 3D Graphics
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Authors

Michael Glueck, Keenan Crane, Sean Anderson, Andres Rutnik, Azam Khan

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Abstract

Reference grids are commonly used in design software to help users judge distances and understand the orientation of the virtual workspace. Despite their ubiquity in 3D graphics applications, little research has gone into important design considerations of the 3D reference grids themselves, which directly impact their usefulness. We have developed two new techniques; the multiscale reference grid and position pegs that form a consistent foundation for presenting relative scale and position information to the user. Our design of a multiscale reference grid consistently subdivides and coalesces gridlines, based on the computation of a closeness metric, while ensuring that there are neither too many nor too few subdivisions. Position pegs extend the grid so that objects that are lying above or below the ground plane can be brought into a common environmental frame of reference without interfering with the grid or object data. We provide a stable analytic viewpoint-determined result, solving several depth cue problems, that is independent of viewing projection.

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