Evidence map›Paper›PMID 33265460›Full record

ArticleEntropy (Basel, Switzerland)2018

A Survey of Viewpoint Selection Methods for Polygonal Models.

Xavier Bonaventura, Miquel Feixas, Mateu Sbert, Lewis Chuang, Christian Wallraven

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Viewpoint Selection for 3D-Games with f-Divergences.Entropy (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xavier BonaventuraGraphics & Imaging Laboratory, University of Girona, Girona 17003, Spain.ORCID 0000-0003-4069-3991
Miquel FeixasGraphics & Imaging Laboratory, University of Girona, Girona 17003, Spain.ORCID 0000-0001-6512-7588
Mateu SbertGraphics & Imaging Laboratory, University of Girona, Girona 17003, Spain.ORCID 0000-0003-2164-6858
Lewis ChuangMax Planck Institute for Biological Cybernetics, Tuebingen 72076, Germany.ORCID 0000-0002-1975-5716
Christian WallravenDepartment of Brain Cognitive Engineering, Korea University, Seoul 02841, Korea.ORCID 0000-0002-2604-9115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

entropymutual informationviewpoint selectionvisualization

Identifiers

PMID33265460
PMCPMC7512891

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.