My Text in Your Handwriting
My Text in Your Handwriting
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DOI：
10.1145/2886099
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发表时间：
2016-05
期刊：
影响因子：
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通讯作者：
T. Haines;Oisin Mac Aodha;G. Brostow
中科院分区：
文献类型：
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作者：
T. Haines;Oisin Mac Aodha;G. Brostow
在许多情况下，我们希望模仿特定作者的纸笔书写风格。用别人的笔迹呈现新文本是很困难的，因为自然的笔迹变化很大，但又遵循有意和无意的结构，使一个人的风格保持一致。这种可变性意味着单纯的基于示例的纹理合成可能具有明显的重复性。我们提出了一种算法，该算法以作者的笔迹呈现所需的输入字符串。需要一份作者笔迹的注释样本；这个系统非常灵活，通常只需要一点点额外的努力就可以使用历史文件。实验表明，我们以字形为中心的方法，通过学习间距、线条粗细和压力等参数，产生了新颖的手写图像，即使是在纸上打印出来的，在普通的观察者看来也是手工制作的。
There are many scenarios where we wish to imitate a specific author’s pen-on-paper handwriting style. Rendering new text in someone’s handwriting is difficult because natural handwriting is highly variable, yet follows both intentional and involuntary structure that makes a person’s style self-consistent. The variability means that naive example-based texture synthesis can be conspicuously repetitive. We propose an algorithm that renders a desired input string in an author’s handwriting. An annotated sample of the author’s handwriting is required; the system is flexible enough that historical documents can usually be used with only a little extra effort. Experiments show that our glyph-centric approach, with learned parameters for spacing, line thickness, and pressure, produces novel images of handwriting that look hand-made to casual observers, even when printed on paper.