A framework for enhancing depth perception in computer graphics
Author
Çipiloğlu, Zeynep
Bülbül, Abdullah
Çapin, Tolga
Date
2010-07Source Title
Proceedings - APGV 2010: Symposium on Applied Perception in Graphics and Visualization
Publisher
ACM
Pages
141 - 148
Language
English
Type
Conference PaperItem Usage Stats
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167
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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.
Keywords
Computer graphicsCue 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