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Evaluation of Depth of Field for depth perception in DVR

机译:评估DVR中景深的景深

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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.
机译:在本文中,我们对使用“景深”进行直接体积渲染中的深度感知进行了用户研究。带有Phong阴影和透视投影的直接体积渲染用作基线。然后添加景深,以查看其对序数深度正确认识的影响。准确性和响应时间用作评估景深有效性的指标。现场用户研究包括两个部分:静态和动态。眼动追踪用于监视对象的视线。从我们的结果中我们可以看到,尽管景深并不是在所有情况下都可以作为适当的深度提示,但可以用来增强对哪个特征在另一个特征之前的感知。当正面特征(用户可以从两个特征中选择一个)聚焦并且使用透视投影时,可以正确识别序数深度,从而获得最佳结果(高精度和快速响应时间)。

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