U.S. Department of EnergyOffice of Scientific and Technical Information
Caerbannog Point Clouds
Abstract
The Caerbannog Point Clouds provide point-sampled 3D models occluded in clouds of points. We synthesized the 3D point clouds from polygonal models, point-sampling the models and surrounding them in a point cloud such that the shape of the model is occluded in any 2D projection. We obscure our model-of-interest by repeatedly surrounding it with an amorphous cloud of points, giving the overall point cloud a structure of organic nature, like that of shrubbery. In a user study, participants were significantly better at identifying the models when visualized as 3D scatterplots under rotation than in axis-aligned 2D scatterplots. We provide three point-clouds, both occluded and unoccluded: the Stanford bunny, Utah Teapot, and OSG Cow.
- Publication Date:
- Other Number(s):
- DE-AC36- 08GO28308
- DOE Contract Number:
- DE-AC36- 08GO28308
- Research Org.:
- National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Subject:
- 97 MATHEMATICS AND COMPUTING
- Keywords:
- data visualizations; data analysis; scatterplots; visual perception
- OSTI Identifier:
- 1729892
- DOI:
- https://doi.org/10.7799/1729892
Citation Formats
Raghupathi, Sunand, Brunhart-Lupo, Nicholas, and Gruchalla, Kenny. Caerbannog Point Clouds. United States: N. p., 2020.
Web. doi:10.7799/1729892.
Raghupathi, Sunand, Brunhart-Lupo, Nicholas, & Gruchalla, Kenny. Caerbannog Point Clouds. United States. doi:https://doi.org/10.7799/1729892
Raghupathi, Sunand, Brunhart-Lupo, Nicholas, and Gruchalla, Kenny. 2020.
"Caerbannog Point Clouds". United States. doi:https://doi.org/10.7799/1729892. https://www.osti.gov/servlets/purl/1729892. Pub date:Tue Dec 01 00:00:00 EST 2020
@article{osti_1729892,
title = {Caerbannog Point Clouds},
author = {Raghupathi, Sunand and Brunhart-Lupo, Nicholas and Gruchalla, Kenny},
abstractNote = {The Caerbannog Point Clouds provide point-sampled 3D models occluded in clouds of points. We synthesized the 3D point clouds from polygonal models, point-sampling the models and surrounding them in a point cloud such that the shape of the model is occluded in any 2D projection. We obscure our model-of-interest by repeatedly surrounding it with an amorphous cloud of points, giving the overall point cloud a structure of organic nature, like that of shrubbery. In a user study, participants were significantly better at identifying the models when visualized as 3D scatterplots under rotation than in axis-aligned 2D scatterplots. We provide three point-clouds, both occluded and unoccluded: the Stanford bunny, Utah Teapot, and OSG Cow.},
doi = {10.7799/1729892},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 01 00:00:00 EST 2020},
month = {Tue Dec 01 00:00:00 EST 2020}
}