Hybrid images

Hybrid images
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DOI:
10.1145/1141911.1141919
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发表时间:
2006-07-01
影响因子:
6.2
通讯作者:
Schyns, Philippe G.
Schyns, Philippe G.
中科院分区:
计算机科学1区
文献类型:
--
作者:
Oliva, Aude;Torralba, Antonio;Schyns, Philippe G.

文献摘要

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我们提出了混合图像,这是一种产生具有两种解释的静态图像的技术,这两种解释随着观看距离的变化而变化。混合图像是基于人类视觉系统对图像的多尺度处理,并受到视觉感知中的掩蔽研究的推动。这些图像可用于创建引人注目的显示,其中图像似乎随着观看距离的改变而改变。我们证明,通过考虑感知分组机制,可以构建在每个距离具有稳定感知的引人注目的混合图像。我们展示了一些示例,其中混合图像用于创建仅在近距离观看时才可见的纹理,生成其解释随观看距离变化的面部表情,以及在单个图片中可视化随时间变化的变化。
We present hybrid images, a technique that produces static images with two interpretations, which change as a function of viewing distance. Hybrid images are based on the multiscale processing of images by the human visual system and are motivated by masking studies in visual perception. These images can be used to create compelling displays in which the image appears to change as the viewing distance changes. We show that by taking into account perceptual grouping mechanisms it is possible to build compelling hybrid images with stable percepts at each distance. We show examples in which hybrid images are used to create textures that become visible only when seen up-close, to generate facial expressions whose interpretation changes with viewing distance, and to visualize changes over time within a single picture.