A Comparative Perceptual Study of Soft-Shadow Algorithms

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Michael Hecher, M. Bernhard, O. Mattausch, D. Scherzer, M. Wimmer
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引用次数: 6

Abstract

We performed a perceptual user study of algorithms that approximate soft shadows in real time. Although a huge body of soft-shadow algorithms have been proposed, to our knowledge this is the first methodical study for comparing different real-time shadow algorithms with respect to their plausibility and visual appearance. We evaluated soft-shadow properties like penumbra overlap with respect to their relevance to shadow perception in a systematic way, and we believe that our results can be useful to guide future shadow approaches in their methods of evaluation. In this study, we also capture the predominant case of an inexperienced user observing shadows without comparing to a reference solution, such as when watching a movie or playing a game. One important result of this experiment is to scientifically verify that real-time soft-shadow algorithms, despite having become physically based and very realistic, can nevertheless be intuitively distinguished from a correct solution by untrained users.
软阴影算法的比较感知研究
我们对实时逼近软阴影的算法进行了感知用户研究。虽然已经提出了大量的软阴影算法,但据我们所知,这是第一个比较不同实时阴影算法的可行性和视觉外观的系统研究。我们以系统的方式评估了像半影重叠这样的软阴影属性与阴影感知的相关性,我们相信我们的结果可以用于指导未来的阴影评估方法。在这项研究中,我们还捕获了一个没有经验的用户观察阴影而不比较参考解决方案的主要情况,例如在看电影或玩游戏时。本实验的一个重要结果是科学地验证了实时软阴影算法,尽管已经变得基于物理并且非常逼真,但未经训练的用户仍然可以直观地将其与正确的解决方案区分开来。
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来源期刊
ACM Transactions on Applied Perception
ACM Transactions on Applied Perception 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
22
审稿时长
12 months
期刊介绍: ACM Transactions on Applied Perception (TAP) aims to strengthen the synergy between computer science and psychology/perception by publishing top quality papers that help to unify research in these fields. The journal publishes inter-disciplinary research of significant and lasting value in any topic area that spans both Computer Science and Perceptual Psychology. All papers must incorporate both perceptual and computer science components.
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