A framework for enhancing depth perception in computer graphics

Date
2010-07
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Source Title
Proceedings - APGV 2010: Symposium on Applied Perception in Graphics and Visualization
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Publisher
ACM
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Pages
141 - 148
Language
English
Type
Conference Paper
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Abstract

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 < 0.05) better than the other method selection techniques that are tested. © 2010 ACM.

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Keywords
Computer graphics, Cue combination, Perceptually-aware rendering, Cost-profit analysis, Depth cue, Depth enhancement, Fuzzy logic-based algorithm, Graphical methods, Knapsack model, Perceptually-aware rendering, Rendering methods, Selection techniques, Spatial layout, Subjective experiments, Computer graphics, Cost benefit analysis, Depth perception, Fuzzy logic, Profitability, Visualization, Computational methods
Citation
Published Version (Please cite this version)