Skip to main content

Research Repository

Advanced Search

Quality measures of reconstruction filters for stereoscopic volume rendering

Roberts, David A.T.; Ivrissimtzis, Ioannis

Quality measures of reconstruction filters for stereoscopic volume rendering Thumbnail


Authors

David A.T. Roberts



Abstract

In direct volume rendering (DVR), the choice of reconstruction filter can have a significant effect on the visual appearance of the images produced and thus, on the perceived quality of a DVR rendered scene. This paper presents the results of a subjective experiment where participants stereoscopically viewed DVR rendered scenes and rated their subjective quality. The statistical analysis of the results focuses on the relationship between the quality of the stereoscopic scene and properties of the filters such as post-aliasing and smoothing, as well as the relationship between the quality of the stereoscopic scene and properties of the rendered images such as shape compactness. The experiment evaluated five reconstruction filters on four different volumetric datasets. Participants rated the stereoscopic scenes on four quality measures: depth quality, depth layout, lack of jaggyness, and sharpness. The results show that the correlation between the quality measures and post-aliasing and smoothing, which are properties associated with each reconstruction filter, is moderate and statistically insignificant. On the other hand, the correlation between the quality measures and compactness, which is a property specific to each rendered image, is strong and statistically significant.

Citation

Roberts, D. A., & Ivrissimtzis, I. (2016). Quality measures of reconstruction filters for stereoscopic volume rendering. Computational Visual Media, 2(1), 19-30. https://doi.org/10.1007/s41095-016-0035-7

Journal Article Type Article
Acceptance Date Dec 9, 2015
Online Publication Date Jan 29, 2016
Publication Date Mar 1, 2016
Deposit Date Feb 1, 2016
Publicly Available Date Feb 26, 2016
Journal Computational Visual Media
Print ISSN 2096-0433
Publisher SpringerOpen
Peer Reviewed Peer Reviewed
Volume 2
Issue 1
Pages 19-30
DOI https://doi.org/10.1007/s41095-016-0035-7

Files


Published Journal Article (Advance online version) (4.3 Mb)
PDF

Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Advance online version Open Access © The Author(s) 2016. This article is published with open access at Springerlink.com The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License
(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.





You might also like



Downloadable Citations