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Title: 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.

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo
  1. NREL
  2. Computational Science
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 = {2020},
month = {12}
}