Caerbannog Point Clouds
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.
Citation Formats
TY - DATA
AB - 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.
AU - Raghupathi
A2 - Brunhart-Lupo
A3 - Gruchalla
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - data visualizations
KW - data analysis
KW - scatterplots
KW - visual perception
LA - English
DA - 2020/12/01
PY - 2020
PB - National Renewable Energy Laboratory
T1 - Caerbannog Point Clouds
UR - https://data.openei.org/submissions/8214
ER -
Raghupathi, et al. Caerbannog Point Clouds. National Renewable Energy Laboratory, 1 December, 2020, NREL. https://data.nrel.gov/submissions/153.
Raghupathi, Brunhart-Lupo, & Gruchalla. (2020). Caerbannog Point Clouds. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/153
Raghupathi, Brunhart-Lupo, and Gruchalla. Caerbannog Point Clouds. National Renewable Energy Laboratory, December, 1, 2020. Distributed by NREL. https://data.nrel.gov/submissions/153
@misc{OEDI_Dataset_8214,
title = {Caerbannog Point Clouds},
author = {Raghupathi and Brunhart-Lupo and Gruchalla},
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.},
url = {https://data.nrel.gov/submissions/153},
year = {2020},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/153},
note = {Accessed: 2025-05-28}
}
Details
Data from Dec 1, 2020
Last updated Jan 21, 2025
Submitted Dec 1, 2020
Organization
National Renewable Energy Laboratory
Contact
Kenny Gruchalla
Authors
Original Source
https://data.nrel.gov/submissions/153Research Areas
DOE Project Details
Project Name Automated Data Synthesis for Immersive Visualization
Project Number DE-AC36- 08GO28308
