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.
6 Data Resources
Name | Size | Type | Resource Description | History |
---|---|---|---|---|
bunny_unoccluded | 74.12 KB | Data | Point-sampled Stanford bunny, unoccluded. | |
bunny_in_shrubbery | 1.02 MB | Data | Point-sampled Stanford bunny occluded in a point cloud. | |
teapot_unoccluded | 31.24 KB | Data | Point-sampled Utah teapot, unoccluded. | |
teapot_in_shrubbery | 1.21 MB | Data | Point-sampled Utah Teapot occluded in a point cloud | |
cow_unoccluded | 57.29 KB | Data | Point-sampled OSG cow, unoccluded. | |
cow_in_shrubbery | 1.84 MB | Data | Point-sampled OSG cow occluded in a point cloud. |
Submitted
• Dec •
01
2020
NREL
Cite This Dataset
Raghupathi, Sunand, Nicholas Brunhart-Lupo, and Kenny Gruchalla. 2020. "Caerbannog Point Clouds." NREL Data Catalog. Golden, CO: National Renewable Energy Laboratory. Last updated: December 12, 2023. DOI: 10.7799/1729892.
About This Dataset
153
10.7799/1729892
NREL/JA-2C00-78534
Public
12/12/2023
DOE Project
Automated Data Synthesis for Immersive Visualization
Facilities
High Performance Computing Center (HPC)
Funding Organization
Department of Energy (DOE)
Sponsoring Organization
USDOE Office of Science (SC), Workforce Development for Teachers and Scientists (WDTS) (SC-27)
Research Areas
Computational Science
License
View License
Digital Object Identifier
10.7799/1729892