TY - GEN
T1 - Evaluation of Depth of Field for depth perception in DVR
AU - Grosset, A.V.Pascal
AU - Schott, Mathias
AU - Bonneau, Georges-Pierre
AU - Hansen, Charles D.
N1 - 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.
PY - 2013/2
Y1 - 2013/2
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/598245
UR - http://ieeexplore.ieee.org/document/6596131/
UR - http://www.scopus.com/inward/record.url?scp=84888984317&partnerID=8YFLogxK
U2 - 10.1109/PacificVis.2013.6596131
DO - 10.1109/PacificVis.2013.6596131
M3 - Conference contribution
SN - 9781467347976
SP - 81
EP - 88
BT - 2013 IEEE Pacific Visualization Symposium (PacificVis)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -