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

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

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

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

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

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

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

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S. Ip. Modelbased analysis of Chinese calligraphy images. In Proceedings of the Ninth International Conference on Information Visualisation, London, UK: IEEE Computer Society, pages 221–226, 2005. 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.

They embedded in a pair of shoes a sensory system capable of acquiring 16 degrees of freedoms concerning the tactile, inertial and positional conditions of the shoes. The sensors there communicate with a controlling microprocessor wirelessly. The entire system achieves a greater 50 Hz response rate. Because of the large amount of sensory information being sampled in real time, they can measure the very detailed, versatile and multimodal gestures of human feet. This system represents a significant step forward from traditional foot motion sensory systems which could only capture tapping of toes and heels, or translational positions.

Then an iterative optimization process is executed to minimize a certain objective function measuring the difference in terms of the visual appearance between the input photograph and the painterly rendering result. The optimization method Haeberli adopted is through stochastically perturbing the brush stroke attributes. He shows two abstract paintings successfully created through this method, one using 100 rectangular brush strokes and the other 100 Dirichlet domains; both are artistically very impressive and with a quality easily exceeding what is attainable by most amateurs.

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