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Image-based synthesis of Chinese landscape painting

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Abstract

This paper describes a new framework for synthesizing Chinese landscape painting using an image-based approach. The framework involves two stages: a preprocessing phase, in which a few brush stroke texture primitivities (BSTP) are collected from samples of hand-made Chinese paintings, and the control picture is constructed to provide color IDs of mountains, and the on-line phases, in which the fog image is synthesized and mountains are “drawn” by mapping multiple layers of BSTP guided by the control picture. When more complex shading is needed, the shading picture is constructed and used during the BSTP mapping phase. Finally, the synthesized Chinese landscape paintings of a variety of styles are given and they look more close to the handmade work than those produced with previous modeling methods.

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Authors and Affiliations

  1. State Key Laboratory of CAD and CG, Zhejiang University, 310027, Hangzhou, P.R. China

    Yu JinHui, Luo GuoMing & Peng QunSheng

Authors
  1. Yu JinHui
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  2. Luo GuoMing
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  3. Peng QunSheng
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Corresponding author

Correspondence to Yu JinHui.

Additional information

This work is supported by the National Natural Science Foundation of China (Grant No.60073024) and National Natura. Science Foundation for Creative Research Group (Grant No.60021201).

YU JinHui was born in 1960. He received his Ph.D. degree from the Department of Computing Science, the University of Glasgow, U.K., in 1999. He is a professor and his research interests include computer animation and computer art.

LUO GuoMing was born in 1956. He received his B.Sc. degree from Zhejiang University in 1978. He is a senior engineer. His research interests include geometric modeling and computer graphics.

PENG QunSheng was born in 1947. He received his Ph.D. degree from the School of Computing Studies, the University of East Anglia, U.K., in 1983. He is a professor and his research interests include computer graphics, computer animation and virtual reality.

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Yu, J., Luo, G. & Peng, Q. Image-based synthesis of Chinese landscape painting. J. Comput. Sci. & Technol. 18, 22–28 (2003). https://doi.org/10.1007/BF02946647

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  • DOI: https://doi.org/10.1007/BF02946647

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