Evaluating Realism in Example-based Terrain Synthesis

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Joshua J. Scott, Neil A. Dodgson
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引用次数: 0

Abstract

We report two studies that investigate the use of subjective believability in the assessment of objective realism of terrain. The first demonstrates that there is a clear subjective feature bias that depends on the types of terrain being evaluated: Our participants found certain natural terrains to be more believable than others. This confounding factor means that any comparison experiment must not ask participants to compare terrains with different types of features. Our second experiment assesses four methods of example-based terrain synthesis, comparing them against each other and against real terrain. Our results show that, while all tested methods can produce terrain that is indistinguishable from reality, all also can produce poor terrain; that there is no one method that is consistently better than the others; and that those who have professional expertise in geology, cartography, or image analysis are better able to distinguish real terrain from synthesized terrain than the general population, but those who have professional expertise in the visual arts are not.

评估基于实例的地形合成中的真实感
我们报告两项研究,调查使用主观可信度的评估客观现实的地形。第一项研究表明,存在明显的主观特征偏差,这取决于被评估的地形类型:我们的参与者发现某些自然地形比其他地形更可信。这个混杂因素意味着任何比较实验都不能要求参与者比较具有不同类型特征的地形。我们的第二个实验评估了四种基于实例的地形合成方法,将它们相互比较并与真实地形进行比较。结果表明,虽然所有测试方法都能产生与现实难以区分的地形,但也都能产生较差的地形;没有一种方法总是比其他方法更好;那些在地质学、制图学或图像分析方面有专业知识的人比一般人更能区分真实地形和合成地形,但那些在视觉艺术方面有专业知识的人则不然。
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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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