Hidden images

Hidden images
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DOI:
10.1145/2024676.2024681
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发表时间:
2011-08
期刊:
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影响因子:
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通讯作者:
Qiang Tong;Song-Hai Zhang;Shimin Hu;Ralph Robert Martin
Qiang Tong;Song-Hai Zhang;Shimin Hu;Ralph Robert Martin
中科院分区:
其他
文献类型:
--
作者:
Qiang Tong;Song-Hai Zhang;Shimin Hu;Ralph Robert Martin

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隐藏图像是一种艺术表现形式,其中一个或多个次要对象(或场景)隐藏在主要图像中。主要图像的特征,特别是其边缘和纹理,被用来描绘次要对象。人们可以在这类图片中辨认出主要意图和次要意图,尽管这样做所需的时间取决于观看者的先前经验和线索的强度。在这里,我们介绍了一个创建此类图像的系统。它依赖于人的感知能力,从物体内部的不完整边缘信息识别物体,例如人脸,而不是轮廓。我们的系统检测要隐藏的对象的边缘,然后通过基于边缘差异优化能量来找到可以嵌入场景中的位置,并进行适当的变换。嵌入是使用改进的泊松混合方法来执行的,该方法使用被嵌入对象的边缘来加强宿主图像的匹配边缘。我们展示了由我们的系统生成的各种隐藏图像。
A hidden image is a form of artistic expression in which one or more secondary objects (or scenes) are hidden within a primary image. Features of the primary image, especially its edges and texture, are used to portray a secondary object. People can recognize both the primary and secondary intent in such pictures, although the time taken to do so depends on the prior experience of the viewer and the strength of the clues. Here, we present a system for creating such images. It relies on the ability of human perception to recognize an object, e.g. a human face, from incomplete edge information within its interior, rather than its outline. Our system detects edges of the object to be hidden, and then finds a place where it can be embedded within the scene, together with a suitable transformation for doing so, by optimizing an energy based on edge differences. Embedding is performed using a modified Poisson blending approach, which strengthens matched edges of the host image using edges of the object being embedded. We show various hidden images generated by our system.