Extracting the trajectory of writing brush in Chinese character calligraphy

Yao, Fenghui; Shao, Guifeng; Yi, Jianqiang

doi:10.1016/j.engappai.2004.08.008

Cited by 27 publications

(15 citation statements)

References 2 publications

(1 reference statement)

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“…For further analyzing deformation of brush, Bai et al 4,12 present brush geometry model and brush dynamic model to automatically generate of Chinese calligraphy or painting. As a result of reducing computational complexity caused by solid model of physical brush, Yao et al 8 utilize B-Spline and mechanical parameter to draw calligraphy. Employing a more robust parametric representation of stroke trajectories, Xu et al 20 draw elegant calligraphy character by using supervised machine learning algorithm.…”

Section: Previous Workmentioning

confidence: 99%

“…In order to speed up generation of Chinese character, much research has been made on automatic imitation of Chinese calligraphy. In general, the algorithms to automatically generate Chinese character can be broadly classified into two categories: strokes and radicals reused algorithm (SRRA) 7,[9][10][11] and stroke order drawing algorithm (SODA) 4,6,8,[12][13][14] . SRRA inherits the idea from the production of font that reused strokes and radicals are employed to construct Chinese character.…”

Section: Introductionmentioning

confidence: 99%

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Character feature integration of Chinese calligraphy and font

et al. 2013

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A framework is proposed in this paper to effectively generate a new hybrid character type by means of integrating local contour feature of Chinese calligraphy with structural feature of font in computer system. To explore traditional art manifestation of calligraphy, multi-directional spatial filter is applied for local contour feature extraction. Then the contour of character image is divided into sub-images. The sub-images in the identical position from various characters are estimated by Gaussian distribution. According to its probability distribution, the dilation operator and erosion operator are designed to adjust the boundary of font image. And then new Chinese character images are generated which possess both contour feature of artistical calligraphy and elaborate structural feature of font. Experimental results demonstrate the new characters are visually acceptable, and the proposed framework is an effective and efficient strategy to automatically generate the new hybrid character of calligraphy and font.

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Section: Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Character feature integration of Chinese calligraphy and font

et al. 2013

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“…To the best of our knowledge, there are, however, no research or successful example of calligraphy writing with any aircraft or flying machine. The closest example sees the development of an omnidirectional ground vehicle to perform calligraphy writing [10], while most of the development in automated calligraphy writing was realized with robotic arms [5,18,19,31,37].…”

Section: Introductionmentioning

confidence: 99%

Systems design and implementation with jerk-optimized trajectory generation for UAV calligraphy

et al. 2015

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“…Yao, et al [4] [5] extract trajectories for a calligraphy robot to perform the replication of the classical calligraphic Chinese characters in images by exploiting the image, curve processing technologies, and calligraphy knowledge. Due to the lack of originally dynamic calligraphy data, it is difficult for a robot to completely replicate the standard characters.…”

Section: Introductionmentioning

confidence: 99%

Teaching a calligraphy robot via a touch screen

Sun

Zhou

et al. 2014

2014 IEEE International Conference on Automation Science and Engineering (CASE)

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Chinese calligraphy as a Chinese character writing art is an important part of Chinese art. As a representative of the intangible cultural heritage of humanity, Chinese calligraphy is under protection and its universal education is a very important inheritance means. This paper proposes a new method to teach a robot to implement the vivid replication of personal writing without losing the shape and effect of a calligraphy character. In the method, a capacitive touch screen used as an input device to obtain the features such as touch point positions, strokes, width, writing velocity and acceleration. After a series of processes, the writing is eventually transformed to a language program for a calligraphy robot to perform the repeated writing. The writing on the touch screen, writing with a brush by hand and one with a brush by the robot are compared. The results show that the robot taught with the proposed method can preserve the writing features of a writer and achieve the effect of brush writing.

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Extracting the trajectory of writing brush in Chinese character calligraphy

Cited by 27 publications

References 2 publications

Character feature integration of Chinese calligraphy and font

Character feature integration of Chinese calligraphy and font

Systems design and implementation with jerk-optimized trajectory generation for UAV calligraphy

Teaching a calligraphy robot via a touch screen

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