“Algorithmic Painter: a NPR method to generate various styles of painting” by Kasao and Miyata
Conference:
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Entry Number: 023
Title:
- Algorithmic Painter: a NPR method to generate various styles of painting
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Abstract:
This paper proposes a non-photorealistic rendering (NPR) method named “Algorithmic Painter” (AP), which can replicate various styles of painting with a newly developed segment classification process.
“Synergistic Image Creator (SIC)” is a picture generation system that takes the painting process into consideration [Kasao & Nakajima 1998]. We have adopted SIC as the framework for Algorithmic Painter because SIC codes the whole source image into vector style data before creating the artwork. The coded image data are useful for a visual design analysis of the image structure.
Our final goal is to develop a system that “paints” an artwork from a captured image, the same way a picture might be painted from an image projected on the retina.
References:
1. Kasao, A., and Nakajima M., 1998. A Resolution Independent Nonrealistic Imaging System for Artistic Use. In Proceedings of the International Conference on IEEE Multimedia Computing and Systems, 358–367.
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