Paper Info
Title
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.
Year
DOI
Venue
2015
10.2312/egve.20151310
ICAT-EGVE
DocType
Citations 
PageRank 
Conference
3
0.44
References 
Authors
10
4
Name
Order
Citations
PageRank
Sebastian Freitag1495.29
Benjamin Weyers26422.95
Andrea Bönsch385.90
Torsten W. Kuhlen4275.98