Stylized line drawing of 3D models using CNN
| Autor: | Suguru Saito, Mitsuhiro Uchida |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Stylized fact
Computer science business.industry Line drawings 020207 software engineering Pattern recognition 3d model 02 engineering and technology Solid modeling Convolutional neural network Extractor Kernel (image processing) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | CW |
| Popis: | Techniques to render 3D models like hand-drawings are often required. In this paper, we propose an approach that generates line-drawing with various styles by machine learning. We train two Convolutional neural networks (CNNs), of which one is a line extractor from the depth and normal images of a 3D object, and the other is a line thickness applicator. The following process to CNNs interprets the thickness of the lines as intensity to control properties of a line style. Using the obtained intensities, non-uniform line styled drawings are generated. The results show the efficiency of combining the machine learning method and the interpreter. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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