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Caerbannog Point Clouds

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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 -
Export Citation to RIS
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: 2025-05-03} }

Details

Data from Dec 1, 2020

Last updated Jan 21, 2025

Submitted Dec 1, 2020

Organization

National Renewable Energy Laboratory

Contact

Kenny Gruchalla

Authors

Raghupathi

National Renewable Energy Laboratory

Brunhart-Lupo

National Renewable Energy Laboratory

Gruchalla

National Renewable Energy Laboratory

DOE Project Details

Project Name Automated Data Synthesis for Immersive Visualization

Project Number DE-AC36- 08GO28308

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