Sketch simplification by classifying strokes
Toru Ogawa, Yusuke Matsui, Toshihiko Yamasaki, Kiyoharu Aizawa · 2016
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.