Next Article in Journal
Normal Laws for Two Entropy Estimators on Infinite Alphabets
Next Article in Special Issue
Information Guided Exploration of Scalar Values and Isocontours in Ensemble Datasets
Previous Article in Journal
The Role of Entropy in Estimating Financial Network Default Impact
Previous Article in Special Issue
Viewpoint-Driven Simplification of Plant and Tree Foliage
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Entropy 2018, 20(5), 370;

A Survey of Viewpoint Selection Methods for Polygonal Models

Graphics & Imaging Laboratory, University of Girona, Girona 17003, Spain
School of Computer Science and Technology, Tianjin University, Tianjin 300350, China
Max Planck Institute for Biological Cybernetics, Tuebingen 72076, Germany
Department of Brain Cognitive Engineering, Korea University, Seoul 02841, Korea
Author to whom correspondence should be addressed.
Received: 24 March 2018 / Revised: 11 May 2018 / Accepted: 11 May 2018 / Published: 16 May 2018
(This article belongs to the Special Issue Information Theory Application in Visualization)
Full-Text   |   PDF [30998 KB, uploaded 21 May 2018]   |  


Viewpoint selection has been an emerging area in computer graphics for some years, and it is now getting maturity with applications in fields such as scene navigation, scientific visualization, object recognition, mesh simplification, and camera placement. In this survey, we review and compare twenty-two measures to select good views of a polygonal 3D model, classify them using an extension of the categories defined by Secord et al., and evaluate them against the Dutagaci et al. benchmark. Eleven of these measures have not been reviewed in previous surveys. Three out of the five short-listed best viewpoint measures are directly related to information. We also present in which fields the different viewpoint measures have been applied. Finally, we provide a publicly available framework where all the viewpoint selection measures are implemented and can be compared against each other. View Full-Text
Keywords: visualization; viewpoint selection; entropy; mutual information visualization; viewpoint selection; entropy; mutual information

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Bonaventura, X.; Feixas, M.; Sbert, M.; Chuang, L.; Wallraven, C. A Survey of Viewpoint Selection Methods for Polygonal Models. Entropy 2018, 20, 370.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top