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

Abstract
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.
Description

        
@inproceedings{
10.2312:egve.20151310
, booktitle = {
ICAT-EGVE 2015 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
}, editor = {
Masataka Imura and Pablo Figueroa and Betty Mohler
}, title = {{
Comparison and Evaluation of Viewpoint Quality Estimation Algorithms for Immersive Virtual Environments
}}, author = {
Freitag, Sebastian
and
Weyers, Benjamin
and
Bönsch, Andrea
and
Kuhlen, Torsten W.
}, year = {
2015
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-530X
}, ISBN = {
978-3-905674-84-2
}, DOI = {
10.2312/egve.20151310
} }
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