VR 2017

2017 IEEE Virtual Reality (VR), March 18-22, 2017, Los Angeles, CA, USA

Desktop Layout

Poster Session B
Posters
Ballroom A/B
Approximating Optimal Sets of Views in Virtual Scenes
Sebastian Freitag, Clemens Löbbert, Benjamin Weyers, and Torsten W. Kuhlen
(RWTH Aachen University, Germany; JARA-HPC, Germany)
Abstract: Viewpoint quality estimation methods allow the determination of the most informative position in a scene. However, a single position usually cannot represent an entire scene, requiring instead a set of several viewpoints. Measuring the quality of such a set of views, however, is not trivial, and the computation of an optimal set of views is an NP-hard problem. Therefore, in this work, we propose three methods to estimate the quality of a set of views. Furthermore, we evaluate three approaches for computing an approximation to the optimal set (two of them new) regarding effectiveness and efficiency.

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Time stamp: 2019-05-18T18:55:34+02:00