Stroke Matching for Paint Dances
Stroke Matching for Paint Dances
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DOI：
10.2312/compaesth/compaesth10/067-074
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发表时间：
2010-06
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影响因子：
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通讯作者：
S. Colton
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文献类型：
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作者：
S. Colton
我们已经实现了一个非真实感渲染系统，模拟油漆/铅笔/粉彩笔画的位置，从数字图像产生代表性的艺术作品。该系统能够记录独立于整个画面的每个绘画笔划的图像，以及关于每个笔划的一些细节。从不同图像的绘画笔画集的工作，我们研究如何确定从一个图片的中风最接近类似于一个给定的中风从另一个图片。这使得一个图片中的绘画笔划可以用于绘制不同的绘画。这进一步使得当绘制笔划移动和旋转到新的位置和方向时，一个图片变形为另一个图片的动画成为可能。使用K-means聚类方法，我们可以从一系列绘画/绘图中提取一组代表性的笔划，并将同一组笔划围绕图片移动，以表示不同时间的不同场景。我们把这种动画称为“绘画舞蹈”。我们将这种技术应用于肖像集，并将由此产生的绘画舞蹈作为视频艺术呈现在艺术背景中。我们在这里描述了我们实验的各种方法，以确定最佳的笔画匹配和提取方法。
We have implemented a non-photorealistic rendering system which simulates the placement of paint/pencil/pastel strokes to produce representational artworks from digital images. The system is able to record an image of each paint stroke independent of the overall picture, in addition to some details about each stroke. Working with sets of paint strokes from paintings of different images, we investigate how to determine which stroke from one picture most closely resembles a given stroke from another picture. This enables the paint strokes from one picture to be used to paint a different painting. This further enables the animation of one picture morphing into another, as the paint strokes move and rotate into new positions and orientations. Using a K-means clustering approach, we can extract a set of representative strokes from a series of paintings/drawings, and animate the same set of strokes moving around a picture in order to represent different scenes at different times. We call such animations "paint dances".We apply this technique to sets of portraits and we present the resulting paint dances in an artistic context as video art. We describe here the various methods we experimented with in order to determine an optimal stroke matching and extraction approach.