A Survey of Viewpoint Selection Methods for Polygonal Models

Bonaventura, X; Feixas, M; Sbert, M; Chuang, L; Wallraven, C

doi:10.3390/e20050370

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A Survey of Viewpoint Selection Methods for Polygonal Models

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Chuang, L
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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http://www.mdpi.com/1099-4300/20/5/370/pdf
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Bonaventura, X., Feixas, M., Sbert, M., Chuang, L., & Wallraven, C. (2018). A Survey of Viewpoint Selection Methods for Polygonal Models. Entropy, 20(5): 370, pp. 1-22. doi:10.3390/e20050370.

Zitierlink: https://hdl.handle.net/21.11116/0000-0001-7F71-2

Zusammenfassung

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.