Visual explanations

D. DeCarlo, Matthew Stone
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引用次数: 174

Abstract

Human perceptual processes organize visual input to make the structure of the world explicit. Successful techniques for automatic depiction, meanwhile, create images whose structure clearly matches the visual information to be conveyed. We discuss how analyzing these structures and realizing them in formal representations can allow computer graphics to engage with perceptual science, to mutual benefit. We call these representations visual explanations: their job is to account for patterns in two dimensions as evidence of a visual world.
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视觉的解释
人类的感知过程组织视觉输入,使世界的结构清晰。同时,成功的自动描绘技术能够创造出结构与所要传达的视觉信息清晰匹配的图像。我们将讨论如何分析这些结构并以形式化表示实现它们,从而使计算机图形学与感知科学相互受益。我们称这些表征为视觉解释:它们的工作是将二维模式作为视觉世界的证据。
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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