Stroke Based Painterly Rendering with Mass Data through Auto Warping Generation
- Authors
- Lee, T.; Kim, B.; Seo, S.; Yoon, K.
- Issue Date
- Dec-2021
- Publisher
- Tech Science Press
- Keywords
- Image mass data; Non-photorealistic rendering; Painterly rendering; Stroke based rendering; Stroke warping
- Citation
- CMES - Computer Modeling in Engineering and Sciences, v.130, no.3, pp 1441 - 1457
- Pages
- 17
- Journal Title
- CMES - Computer Modeling in Engineering and Sciences
- Volume
- 130
- Number
- 3
- Start Page
- 1441
- End Page
- 1457
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/54865
- DOI
- 10.32604/cmes.2022.018010
- ISSN
- 1526-1492
1526-1506
- Abstract
- Painting is done according to the artist's style. The most representative of the style is the texture and shape of the brush stroke. Computer simulations allow the artist's painting to be produced by taking this stroke and pasting it onto the image. This is called stroke-based rendering. The quality of the result depends on the number or quality of this stroke, since the stroke is taken to create the image. It is not easy to render using a large amount of information, as there is a limit to having a stroke scanned. In this work, we intend to produce rendering results using mass data that produces large amounts of strokes by expanding existing strokes through warping. Through this, we have produced results that have higher quality than conventional studies. Finally, we also compare the correlation between the amount of data and the results. © 2022 Tech Science Press. All rights reserved.
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- Appears in
Collections - College of Art and Technology > School of Computer Art > 1. Journal Articles
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