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      • Department of Computer Engineering
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      A framework for enhancing depth perception in computer graphics

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      Author(s)
      Çipiloğlu, Zeynep
      Bülbül, Abdullah
      Çapin, Tolga
      Date
      2010-07
      Source Title
      Proceedings - APGV 2010: Symposium on Applied Perception in Graphics and Visualization
      Publisher
      ACM
      Pages
      141 - 148
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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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 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
      Permalink
      http://hdl.handle.net/11693/28553
      Published Version (Please cite this version)
      https://doi.org/10.1145/1836248.1836276
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      • Department of Computer Engineering 1435
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