Handle URI:
http://hdl.handle.net/10754/598245
Title:
Evaluation of Depth of Field for depth perception in DVR
Authors:
Grosset, A.V.Pascal; Schott, Mathias; Bonneau, Georges-Pierre; Hansen, Charles D.
Abstract:
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.
Citation:
Grosset AVP, Schott M, Bonneau G-P, Hansen CD (2013) Evaluation of Depth of Field for depth perception in DVR. 2013 IEEE Pacific Visualization Symposium (PacificVis). Available: http://dx.doi.org/10.1109/PacificVis.2013.6596131.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE Pacific Visualization Symposium (PacificVis)
KAUST Grant Number:
KUS-C1-016-04
Issue Date:
Feb-2013
DOI:
10.1109/PacificVis.2013.6596131
Type:
Conference Paper
Sponsors:
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.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorGrosset, A.V.Pascalen
dc.contributor.authorSchott, Mathiasen
dc.contributor.authorBonneau, Georges-Pierreen
dc.contributor.authorHansen, Charles D.en
dc.date.accessioned2016-02-25T13:17:18Zen
dc.date.available2016-02-25T13:17:18Zen
dc.date.issued2013-02en
dc.identifier.citationGrosset AVP, Schott M, Bonneau G-P, Hansen CD (2013) Evaluation of Depth of Field for depth perception in DVR. 2013 IEEE Pacific Visualization Symposium (PacificVis). Available: http://dx.doi.org/10.1109/PacificVis.2013.6596131.en
dc.identifier.doi10.1109/PacificVis.2013.6596131en
dc.identifier.urihttp://hdl.handle.net/10754/598245en
dc.description.abstractIn 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.en
dc.description.sponsorshipWe 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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectI.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism - Color, shading, shadowing, and textureen
dc.subjectI.3.m [Computer Graphics]: Miscellaneousen
dc.subjectI.4.10 [Image Processing and Computer Vision]: Image Representation - Volumetricen
dc.titleEvaluation of Depth of Field for depth perception in DVRen
dc.typeConference Paperen
dc.identifier.journal2013 IEEE Pacific Visualization Symposium (PacificVis)en
dc.contributor.institutionUniversity of Utah, Salt Lake City, United Statesen
dc.contributor.institutionLJK - Grenoble University - INRIA, Grenoble, Franceen
kaust.grant.numberKUS-C1-016-04en
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