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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/3330

Title: Algorithmic Painter: a NPR method to generate various styles of painting
Authors: Kasao, A
Miyata, K
Keywords: non-photorealistic rendering
brush stroke
image segmentation
Issue Date: 2006-01
Magazine name: Visual Computer
Volume: 22
Number: 1
Start page: 14
End page: 27
Abstract: This paper proposes “Algorithmic Painter”, an algorithm which can produce various styles of painting from source photos. Algorithmic Painter is created by enhancing Synergistic Image Creator, is a painterly rendering method, to be highly expressive but to still reserve the essential characteristics of the source photo. To achieve this, our method extracts three types of image segments automatically from a source photo by newly proposed classification method: edge areas, homogeneous areas, and highly contrastive areas. Next, each obtained image segment is converted into a brushstroke. Finally, the target picture is rendered by assigning a color to each pixel. Furthermore, this method can control the curvy shapes of brushstrokes, so that the obtained image can not only incorporate various artistic touches but also natural touches. As an example, the paper describes the composition technique for three considerably different painting styles.
Rights: This is the author-created version of Springer Berlin / Heidelberg, Atsushi Kasao and Kazunori Miyata, The Visual Computer, 22(1), 2006, 14-27. The original publication is available at www.springerlink.com, http://www.springerlink.com/content/b745v4w30j489313/fulltext.pdf
URI: http://hdl.handle.net/10119/3330
Material Type: publisher
Appears in Collections:z7-10-1. 雑誌掲載論文 (Journal Articles)

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