Publication

Efficient Structure-Aware Selection Techniques for 3D Point Cloud Visualizations with 2DOF Input

Yu, L., Efstathiou, K., Isenberg, P. & Isenberg, T., Dec-2012, In : Ieee transactions on visualization and computer graphics. 18, 12, p. 2245-2254 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Yu, L., Efstathiou, K., Isenberg, P., & Isenberg, T. (2012). Efficient Structure-Aware Selection Techniques for 3D Point Cloud Visualizations with 2DOF Input. Ieee transactions on visualization and computer graphics, 18(12), 2245-2254.

Author

Yu, Lingyun ; Efstathiou, Konstantinos ; Isenberg, Petra ; Isenberg, Tobias. / Efficient Structure-Aware Selection Techniques for 3D Point Cloud Visualizations with 2DOF Input. In: Ieee transactions on visualization and computer graphics. 2012 ; Vol. 18, No. 12. pp. 2245-2254.

Harvard

Yu, L, Efstathiou, K, Isenberg, P & Isenberg, T 2012, 'Efficient Structure-Aware Selection Techniques for 3D Point Cloud Visualizations with 2DOF Input', Ieee transactions on visualization and computer graphics, vol. 18, no. 12, pp. 2245-2254.

Standard

Efficient Structure-Aware Selection Techniques for 3D Point Cloud Visualizations with 2DOF Input. / Yu, Lingyun; Efstathiou, Konstantinos; Isenberg, Petra; Isenberg, Tobias.

In: Ieee transactions on visualization and computer graphics, Vol. 18, No. 12, 12.2012, p. 2245-2254.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Yu L, Efstathiou K, Isenberg P, Isenberg T. Efficient Structure-Aware Selection Techniques for 3D Point Cloud Visualizations with 2DOF Input. Ieee transactions on visualization and computer graphics. 2012 Dec;18(12):2245-2254.


BibTeX

@article{80d9a39c343e4a65b1c358b7523d383c,
title = "Efficient Structure-Aware Selection Techniques for 3D Point Cloud Visualizations with 2DOF Input",
abstract = "Data selection is a fundamental task in visualization because it serves as a pre-requisite to many follow-up interactions. Efficient spatial selection in 3D point cloud datasets consisting of thousands or millions of particles can be particularly challenging. We present two new techniques, TeddySelection and CloudLasso, that support the selection of subsets in large particle 3D datasets in an interactive and visually intuitive manner. Specifically, we describe how to spatially select a subset of a 3D particle cloud by simply encircling the target particles on screen using either the mouse or direct-touch input. Based on the drawn lasso, our techniques automatically determine a bounding selection surface around the encircled particles based on their density. This kind of selection technique can be applied to particle datasets in several application domains. TeddySelection and CloudLasso reduce, and in some cases even eliminate, the need for complex multi-step selection processes involving Boolean operations. This was confirmed in a formal, controlled user study in which we compared the more flexible CloudLasso technique to the standard cylinder-based selection technique. This study showed that the former is consistently more efficient than the latter-in several cases the CloudLasso selection time was half that of the corresponding cylinder-based selection.",
keywords = "3D interaction, spatial selection, direct-touch interaction, VIRTUAL ENVIRONMENTS, EXPLORATION",
author = "Lingyun Yu and Konstantinos Efstathiou and Petra Isenberg and Tobias Isenberg",
note = "Relation: https://www.rug.nl/fmns-research/bernoulli/index Rights: University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science",
year = "2012",
month = "12",
language = "English",
volume = "18",
pages = "2245--2254",
journal = "Ieee transactions on visualization and computer graphics",
issn = "1077-2626",
publisher = "IEEE COMPUTER SOC",
number = "12",

}

RIS

TY - JOUR

T1 - Efficient Structure-Aware Selection Techniques for 3D Point Cloud Visualizations with 2DOF Input

AU - Yu, Lingyun

AU - Efstathiou, Konstantinos

AU - Isenberg, Petra

AU - Isenberg, Tobias

N1 - Relation: https://www.rug.nl/fmns-research/bernoulli/index Rights: University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science

PY - 2012/12

Y1 - 2012/12

N2 - Data selection is a fundamental task in visualization because it serves as a pre-requisite to many follow-up interactions. Efficient spatial selection in 3D point cloud datasets consisting of thousands or millions of particles can be particularly challenging. We present two new techniques, TeddySelection and CloudLasso, that support the selection of subsets in large particle 3D datasets in an interactive and visually intuitive manner. Specifically, we describe how to spatially select a subset of a 3D particle cloud by simply encircling the target particles on screen using either the mouse or direct-touch input. Based on the drawn lasso, our techniques automatically determine a bounding selection surface around the encircled particles based on their density. This kind of selection technique can be applied to particle datasets in several application domains. TeddySelection and CloudLasso reduce, and in some cases even eliminate, the need for complex multi-step selection processes involving Boolean operations. This was confirmed in a formal, controlled user study in which we compared the more flexible CloudLasso technique to the standard cylinder-based selection technique. This study showed that the former is consistently more efficient than the latter-in several cases the CloudLasso selection time was half that of the corresponding cylinder-based selection.

AB - Data selection is a fundamental task in visualization because it serves as a pre-requisite to many follow-up interactions. Efficient spatial selection in 3D point cloud datasets consisting of thousands or millions of particles can be particularly challenging. We present two new techniques, TeddySelection and CloudLasso, that support the selection of subsets in large particle 3D datasets in an interactive and visually intuitive manner. Specifically, we describe how to spatially select a subset of a 3D particle cloud by simply encircling the target particles on screen using either the mouse or direct-touch input. Based on the drawn lasso, our techniques automatically determine a bounding selection surface around the encircled particles based on their density. This kind of selection technique can be applied to particle datasets in several application domains. TeddySelection and CloudLasso reduce, and in some cases even eliminate, the need for complex multi-step selection processes involving Boolean operations. This was confirmed in a formal, controlled user study in which we compared the more flexible CloudLasso technique to the standard cylinder-based selection technique. This study showed that the former is consistently more efficient than the latter-in several cases the CloudLasso selection time was half that of the corresponding cylinder-based selection.

KW - 3D interaction

KW - spatial selection

KW - direct-touch interaction

KW - VIRTUAL ENVIRONMENTS

KW - EXPLORATION

M3 - Article

VL - 18

SP - 2245

EP - 2254

JO - Ieee transactions on visualization and computer graphics

JF - Ieee transactions on visualization and computer graphics

SN - 1077-2626

IS - 12

ER -

ID: 2473032