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.
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.
Author Information
Sunand Raghupathi, NREL, ORCID iD: 0000-0002-8061-076X
Nicholas Brunhart-Lupo, Computational Science, ORCID iD: 0000-0001-5634-3182
Kenny Gruchalla, Computational Science, ORCID iD: 0000-0002-8155-1175
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
DOE Project
Automated Data Synthesis for Immersive Visualization
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
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Digital Object Identifier