A survey of viewpoint selection methods for polygonal models

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

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


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.

Original languageEnglish
Article number370
Issue number5
Publication statusPublished - 2018 May 16

Bibliographical note

Funding Information:
Acknowledgments: This work has been partially funded by grant TIN2016-75866-C3-3-R from the Spanish Government, grant 2017-SGR-1101 from Catalan Government and by the National Natural Science Foundation of China (Nos. 61571439, 61471261 and 61771335). Lewis Chuang was supported by the German Research Foundation (DFG) within project C03 of SFB/Transregio 161, and Christian Wallraven by grant 2017-M3C7A1041817 of the National Research Foundation of Korea.

Publisher Copyright:
© 2018 by the authors.


  • Entropy
  • Mutual information
  • Viewpoint selection
  • Visualization

ASJC Scopus subject areas

  • Information Systems
  • Mathematical Physics
  • Physics and Astronomy (miscellaneous)
  • Electrical and Electronic Engineering


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