Comparison and Evaluation of Viewpoint Quality Estimation Algorithms for Immersive Virtual Environments

Sebastian Freitag, Benjamin Weyers, Andrea Bönsch, Torsten Wolfgang Kuhlen
Proceedings of the 25th International Conference on Artificial Reality and Telexistence and the 20th Eurographics Symposium on Virtual Environments (ICAT-EGVE), 2015

The 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.

» Show BibTeX
@InProceedings{Freitag2015, Title = {{Comparison and Evaluation of Viewpoint Quality Estimation Algorithms for Immersive Virtual Environments}}, Author = {Freitag, Sebastian and Weyers, Benjamin and B\"{o}nsch, Andrea and Kuhlen, Torsten W.}, Booktitle = {ICAT-EGVE 2015 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments}, Year = {2015}, Pages = {53-60}, Doi = {10.2312/egve.20151310} }



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