SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Drawing and animation using skeletal strokes
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
An Efficient Brush Model for Physically-Based 3D Painting
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Droplet: a virtual brush model to simulate Chinese calligraphy and painting
Journal of Computer Science and Technology
Real-Time Painting with an Expressive Virtual Chinese Brush
IEEE Computer Graphics and Applications
Automatic Generation of Artistic Chinese Calligraphy
IEEE Intelligent Systems
Image deformation using moving least squares
ACM SIGGRAPH 2006 Papers
Model-based analysis of Chinese calligraphy images
Computer Vision and Image Understanding
Capturing Character Contours from Images of Ancient Chinese Calligraphy
DMAMH '07 Proceedings of the Second Workshop on Digital Media and its Application in Museum & Heritage
The Creation Process of Chinese Calligraphy and Emulation of Imagery Thinking
IEEE Intelligent Systems
Style-consistency calligraphy synthesis system in digital library
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
An intelligent system for Chinese calligraphy
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Technical Section: Realistic synthesis of cao shu of Chinese calligraphy
Computers and Graphics
Robust Image Corner Detection Based on the Chord-to-Point Distance Accumulation Technique
IEEE Transactions on Multimedia
| Hi-index | 0.00 |
Manifesting the handwriting characters with the specific style of a famous artwork is fascinating. In this paper, a system is built to render the user's handwriting characters with a specific style. A stroke database is established firstly. When rendering a character, the strokes are extracted and recognized, then proper radicals and strokes are filtered, finally these strokes are deformed and the result is generated. The Special Nine Grid (SNG) is presented to help recognize radicals and strokes. The Rule-base Stroke Deformation Algorithm (RSDA) is proposed to deform the original strokes according to the handwriting strokes. The rendering result manifests the specific style with high quality. It is feasible for people to generate the tablet or other artworks with the proposed system.