Dr. Songhua Xu, Prof. Francis C. M. Lau, Prof. Yunhe Pan's A Computational Approach to Digital Chinese Painting and PDF

By Dr. Songhua Xu, Prof. Francis C. M. Lau, Prof. Yunhe Pan (auth.)

ISBN-10: 3540881476

ISBN-13: 9783540881476

ISBN-10: 3540881484

ISBN-13: 9783540881483

"A Computational method of electronic chinese language portray and Calligraphy" is a technical booklet on machine technological know-how and its purposes within the arts. It makes a speciality of Oriental electronic arts, specifically chinese language arts and portray, providing a multi-disciplinary remedy from the angles of special effects, interactive innovations, human-computer interplay, and synthetic intelligence. The booklet additionally discusses the original problems and demanding situations of utilizing the pc to supply Oriental arts, together with study effects by way of the authors and their classes and engineering reviews at the back of those efforts.

Songhua Xu is a working laptop or computer scientist of Zhejiang collage and Yale college, in addition to an honorary researcher of the college of Hong Kong. Francis C.M. Lau is Professor on the collage of Hong Kong the place he leads the structures learn workforce within the division of laptop technological know-how. Yunhe Pan is Professor of laptop technology at Zhejiang collage in addition to Deputy President of chinese language Academy of Engineering.

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Toshinori Yamasaki and Tetsuo Hattori. Computer calligraphy– brush written kanji formation based on the brush-touch movement. In IEEE International Conference on Systems, Man, and Cybernetics, Vancouver, Canada: IEEE Computer Society, pages 1736–1741, 1996. Jinhui Yu and Qunsheng Peng. Realistic synthesis of Cao Shu of Chinese calligraphy. Computers and Graphics, 29(1):145–153, 2005. Douglas E. Zongker, Geraldine Wade, and David H. Salesin. Example-based hinting of true type fonts. , pages 411–416, 2000.

Achieving this goal constitutes the most part of their work. In addition, robustness is another goal in their pursuit since typical captured motion data are very noisy due to the functioning mechanism of the motion capturing devices. And coping with this noisy input in real time for computer puppetry is a challenging algorithm design task. Their system was successfully used to produce daily children’s TV programs and for news broadcasting on the election of the Korea National Assembly on Korean national television.

Biehl, Piotr D. Adamczyk, and Brian P. Bailey. Djogger: a mobile dynamic music device. In CHI ’06: Extended Abstracts on Human Factors in Computing Systems, Quebec, Canada: ACM Press, pages 556–561, 2006. [BLCD02] Christoph Bregler, Lorie Loeb, Erika Chuang, and Hrishi Deshpande. Turning to the masters: motion capturing cartoons. In SIGGRAPH ’02: Proceedings of the 29th Annual Conference on Computer Graphics and Interactive Techniques, San Antonio, TX, USA: ACM Press, pages 399–407, 2002. [BLM01] Michael Bernard, Chia Hui Liao, and Melissa Mills.

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A Computational Approach to Digital Chinese Painting and Calligraphy by Dr. Songhua Xu, Prof. Francis C. M. Lau, Prof. Yunhe Pan (auth.)

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