Title :
A geometric approach to stroke extraction for the Chinese calligraphy robot
Author :
Yuandong Sun ; Huihuan Qian ; Yangsheng Xu
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
fDate :
May 31 2014-June 7 2014
Abstract :
Known as “the art of strokes”, Chinese calligraphy expresses its aesthetic through the strokes. A calligraphy learner practise the strokes and compose a calligraphic character by the strokes thereafter. Following the same process, the calligraphy robot, Callibot [2] needs to extract the strokes from a character. Therefore, we propose an approach to extract strokes using the geometric properties on the contour(s) of a character. A key discovery is that if two strokes intersect, the contour is concave; otherwise it is convex. The curvature vector defined in [1] is used to locate the vertexes whose interior angles are greater than 180° (these vertexes are named as C-points). C-points separate the contours into sub-contours. The corresponding sub-contours then form the basic strokes (i.e. dot stroke, horizontal stroke, vertical stroke, left-falling stroke and right-falling stroke). The experimental results show that this approach is feasible of extracting strokes from characters. This research is also useful for Chinese character recognition and calligraphic styles classification.
Keywords :
art; feature extraction; human-robot interaction; robot vision; C-points; Callibot; Chinese calligraphy robot; Chinese character recognition; calligraphic character; calligraphic styles classification; calligraphy learner; curvature vector; geometric properties; geometric stroke extraction approach; stroke art; subcontours; Art; Character recognition; Joining processes; Robots; Testing; Vectors; Writing;
Conference_Titel :
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/ICRA.2014.6907320