Recovery of Drawing Order from Single-Stroke Handwriting Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Temporal Trajectories Using the Condensation Algorithm
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Recovering Writing Traces in Off-Line Handwriting Recognition: Using a Global Optimization Technique
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Recognition of Chinese Characters: The State-of-the-Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Chinese calligraphy is a precious Chinese art. It is pictographic and each calligraphist has his own writing style. Even people whose native language is Chinese will have difficulties in writing a demanded beautiful calligraphy style, not to say people who know little about Chinese calligraphy. In order to help people enjoy the art of calligraphy writing and find out the process how it was written, we implement a new approach to animate its writing process by 3D visualization method. In the paper two novel algorithms are also presented to extract the intrinsic feature which is needed to rebuild the writing process: 1) extract strokes order from an offline Chinese calligraphic handwriting; 2) estimate varied stroke's thickness. Finally, experiment result is given to demonstrate the application.