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Sketch simplification by classifying strokes

机译:通过对笔划进行分类来简化草图

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In this paper, we propose a novel approach to creating clean line drawing from a scribbled sketch automatically. The main problem is determining which strokes of a scribbled sketch should be merged. We use a machine learning approach to solve this problem. Our method can automatically generate training data by comparing scribbled sketches with manually drawn line drawings without using annotations. In order to verify the generated training data, we merged strokes and created clean line drawings in accordance with the generated training data. In addition, we trained a support vector machine to estimate the pairs of strokes to be merged. Further, we verified that our method can create line drawings using this estimator.
机译:在本文中,我们提出了一种新颖的方法,可以自动从a草的草图中创建干净的线条图。主要问题是确定应将草绘草图的哪些笔划合并。我们使用机器学习方法来解决此问题。我们的方法可以通过将不规则草图与手动绘制的线图进行比较来自动生成训练数据,而无需使用注释。为了验证生成的训练数据,我们合并了笔划,并根据生成的训练数据创建了清晰的线条图。此外,我们训练了支持向量机来估计要合并的笔画对。此外,我们验证了我们的方法可以使用此估算器创建线图。

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