Evaluation of Depth of Field for depth perception in DVR

A.V.Pascal Grosset, Mathias Schott, Georges-Pierre Bonneau, Charles D. Hansen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations


In this paper we present a user study on the use of Depth of Field for depth perception in Direct Volume Rendering. Direct Volume Rendering with Phong shading and perspective projection is used as the baseline. Depth of Field is then added to see its impact on the correct perception of ordinal depth. Accuracy and response time are used as the metrics to evaluate the usefulness of Depth of Field. The onsite user study has two parts: static and dynamic. Eye tracking is used to monitor the gaze of the subjects. From our results we see that though Depth of Field does not act as a proper depth cue in all conditions, it can be used to reinforce the perception of which feature is in front of the other. The best results (high accuracy & fast response time) for correct perception of ordinal depth occurs when the front feature (out of the two features users were to choose from) is in focus and perspective projection is used. © 2013 IEEE.
Original languageEnglish (US)
Title of host publication2013 IEEE Pacific Visualization Symposium (PacificVis)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Print)9781467347976
StatePublished - Feb 2013
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-C1-016-04
Acknowledgements: We would like to thank Timo Ropinski for providing us with someguidelines and sample images from their user study [17].This research was sponsored by the DOE NNSA Award DENA0000740,KUS-C1-016-04 made by King Abdullah Universityof Science and Technology (KAUST), DOE SciDAC Instituteof Scalable Data Management Analysis and VisualizationDOE DE-SC0007446, NSF OCI-0906379, NSF IIS-1162013, NIH-1R01GM098151-01.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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