A framework for enhancing depth perception in computer graphics

Zeynep Cipiloglu, A. Bulbul, T. Çapin
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引用次数: 33

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.
增强计算机图形学中深度感知的框架
本文介绍了一种在给定的三维计算机生成场景中增强深度感知的解决方案。为此,我们提出了一个框架来决定给定场景的合适深度线索和提供这些线索的渲染方法。首先,系统考虑应用程序中的目标任务和场景的空间布局,采用基于模糊逻辑的算法计算每个深度线索的重要性;然后,构建了一个背包模型,以保持提供这些线索的图形方法的渲染成本与其对深度感知的贡献之间的平衡。这个成本收益分析步骤选择适当的呈现方法。在这项工作中,我们还提出了几个客观和主观实验,表明我们的自动深度增强系统在统计学上(p < 0.05)优于其他测试的方法选择技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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