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dc.contributor.authorFreitag, Sebastianen_US
dc.contributor.authorWeyers, Benjaminen_US
dc.contributor.authorBönsch, Andreaen_US
dc.contributor.authorKuhlen, Torsten W.en_US
dc.contributor.editorMasataka Imura and Pablo Figueroa and Betty Mohleren_US
dc.date.accessioned2015-10-28T06:31:58Z
dc.date.available2015-10-28T06:31:58Z
dc.date.issued2015en_US
dc.identifier.isbn978-3-905674-84-2en_US
dc.identifier.issn1727-530Xen_US
dc.identifier.urihttp://dx.doi.org/10.2312/egve.20151310en_US
dc.description.abstractThe knowledge of which places in a virtual environment are interesting or informative can be used to improve user interfaces and to create virtual tours. Viewpoint Quality Estimation algorithms approximate this information by calculating quality scores for viewpoints. However, even though several such algorithms exist and have also been used, e.g., in virtual tour generation, they have never been comparatively evaluated on virtual scenes. In this work, we introduce three new Viewpoint Quality Estimation algorithms, and compare them against each other and six existing metrics, by applying them to two different virtual scenes. Furthermore, we conducted a user study to obtain a quantitative evaluation of viewpoint quality. The results reveal strengths and limitations of the metrics on actual scenes, and provide recommendations on which algorithms to use for real applications.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.5.1 [Information Interfaces and Presentation]en_US
dc.subjectMultimedia Information Systemsen_US
dc.subjectEvaluation/methodologiesen_US
dc.subjectI.2.10 [Artificial Intelligence]en_US
dc.subjectVision and Scene Understandingen_US
dc.subject3D/stereo scene analysisen_US
dc.titleComparison and Evaluation of Viewpoint Quality Estimation Algorithms for Immersive Virtual Environmentsen_US
dc.description.seriesinformationICAT-EGVE 2015 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environmentsen_US
dc.description.sectionheadersFull Papersen_US
dc.identifier.doi10.2312/egve.20151310en_US
dc.identifier.pages53-60en_US


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