Viewpoint Quality: Measures and Applications

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dc.contributor.authorSbert, Mateuen_US
dc.contributor.authorPlemenos, Dimitrien_US
dc.contributor.authorFeixas, Miquelen_US
dc.contributor.authorGonzález, Franciscoen_US
dc.contributor.editorLaszlo Neumann and Mateu Sbert and Bruce Gooch and Werner Purgathoferen_US
dc.date.accessioned2013-10-22T07:40:28Z
dc.date.available2013-10-22T07:40:28Z
dc.date.issued2005en_US
dc.description.abstractSeveral methods that use the notion of viewpoint quality have been recently introduced in different areas of computer graphics, such as scene understanding, exploration of virtual worlds, radiosity and global illumination, image-based rendering and modelling. In this paper, we analyze the behavior of three different viewpoint quality measures. The first one is a heuristic measure, the second one is the viewpoint entropy, and the third one is a new measure based on the Kullback-Leibler distance between the projected and actual distributions of the areas of the polygons in the scene. In addition, this paper reviews different applications and introduces a new algorithm using the Kullback-Leibler distance for the selection of a representative set of n views. Our method is based in selecting the view that minimizes the Kullback-Leibler distance between the mixture of the distributions of all selected views and the actual area distribution.en_US
dc.description.seriesinformationComputational Aesthetics in Graphics, Visualization and Imagingen_US
dc.identifier.isbn3-905673-27-4en_US
dc.identifier.issn1816-0859en_US
dc.identifier.urihttps://doi.org/10.2312/COMPAESTH/COMPAESTH05/185-192en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computing Methodologies]: Computer GraphicsPicture/ Image Generationen_US
dc.titleViewpoint Quality: Measures and Applicationsen_US
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