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High Relief from Brush Painting

机译:画笔绘画的高浮雕

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摘要

Relief is an art form part way between 3D sculpture and 2D painting. We present a novel approach for generating a texture-mapped high-relief model from a single brush painting. Our aim is to extract the brushstrokes from a painting and generate the individual corresponding relief proxies rather than recovering the exact depth map from the painting, which is a tricky computer vision problem, requiring assumptions that are rarely satisfied. The relief proxies of brushstrokes are then combined together to form a 2.5D high-relief model. To extract brushstrokes from 2D paintings, we apply layer decomposition and stroke segmentation by imposing boundary constraints. The segmented brushstrokes preserve the style of the input painting. By inflation and a displacement map of each brushstroke, the features of brushstrokes are preserved by the resultant high-relief model of the painting. We demonstrate that our approach is able to produce convincing high-reliefs from a variety of paintings(with humans, animals, flowers, etc.). As a secondary application, we show how our brushstroke extraction algorithm could be used for image editing. As a result, our brushstroke extraction algorithm is specifically geared towards paintings with each brushstroke drawn very purposefully, such as Chinese paintings, Rosemailing paintings, etc.
机译:浮雕是介于3D雕塑和2D绘画之间的一种艺术形式。我们提出了一种新颖的方法,可以从单个画笔绘画中生成纹理映射的高浮雕模型。我们的目标是从绘画中提取笔触并生成各个相应的浮雕代理,而不是从绘画中恢复确切的深度图,这是一个棘手的计算机视觉问题,需要很少满足的假设。然后将笔触的释放代理结合在一起以形成2.5D高浮雕模型。为了从2D绘画中提取笔触,我们通过施加边界约束来应用图层分解和笔划分割。分段的笔触保留了输入画的样式。通过充气和每个笔触的位移图,笔画的特征通过生成的绘画高浮雕模型得以保留。我们证明了我们的方法能够从各种绘画(包括人类,动物,花朵等)中产生令人信服的高浮雕。作为辅助应用程序,我们展示了如何将笔触提取算法用于图像编辑。因此,我们的笔触提取算法专门针对非常有针对性地绘制每个笔触的绘画,例如中国画,玫瑰邮件绘画等。

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