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SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
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Information Visualization: Perception for Design
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IEEE Transactions on Visualization and Computer Graphics
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ACM Transactions on Applied Perception (TAP)
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Proceeding of the 16th International Academic MindTrek Conference
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A framework for applying the principles of depth perception to information visualization
ACM Transactions on Applied Perception (TAP)
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This paper introduces a solution for enhancing depth perception in a given 3D computer-generated scene. For this purpose, we propose a framework that decides on the suitable depth cues for a given scene and the rendering methods which provide these cues. First, the system calculates the importance of each depth cue using a fuzzy logic based algorithm which considers the target tasks in the application and the spatial layout of the scene. Then, a knapsack model is constructed to keep the balance between the rendering costs of the graphical methods that provide these cues and their contibution to depth perception. This cost-profit analysis step selects the proper rendering methods. In this work, we also present several objective and subjective experiments which show that our automated depth enhancement system is statistically (p ) better than the other method selection techniques that are tested.