Evaluation of Depth of Field for Depth Perception in DVR

Pascal Grosset 1, * Mathias Schott 2 Georges-Pierre Bonneau 3 Hansen Charles 4
* Corresponding author
3 MAVERICK - Models and Algorithms for Visualization and Rendering
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
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 on site 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 is when the front feature (out of the users were to choose from) is in focus and perspective projection is used.
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Pascal Grosset, Mathias Schott, Georges-Pierre Bonneau, Hansen Charles. Evaluation of Depth of Field for Depth Perception in DVR. IEEE Pacific Visualization 2013, Feb 2013, Sidney, Australia. pp.81-88, ⟨10.1109/PacificVis.2013.6596131⟩. ⟨hal-00762548⟩



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