SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
Mathematical elements for computer graphics (2nd ed.)
Mathematical elements for computer graphics (2nd ed.)
Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
Digital Image Processing
A diffusion model for computer animation of diffuse ink painting
CA '95 Proceedings of the Computer Animation
Calligraphic Character Synthesis using Brush Model
CGI '97 Proceedings of the 1997 Conference on Computer Graphics International
Anti-aliased line drawing using brush extrusion
SIGGRAPH '83 Proceedings of the 10th 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
Virtual hairy brush for painterly rendering
Graphical Models
Technical Section: Realistic synthesis of cao shu of Chinese calligraphy
Computers and Graphics
Style-consistency calligraphy synthesis system in digital library
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
A novel algorithm for generating Muhammad pattern based on cellular automata
MATH'08 Proceedings of the 13th WSEAS international conference on Applied mathematics
Chinese calligraphy specific style rendering system
Proceedings of the 10th annual joint conference on Digital libraries
Graph theory based segmentation of traced boundary into open and closed sub-sections
Computer Vision and Image Understanding
Virtual calligraphic carving through smoothness scalar field and brush-pressure distribution
Computer Animation and Virtual Worlds
Interactive 3D painting on point-sampled objects
SPBG'04 Proceedings of the First Eurographics conference on Point-Based Graphics
| Hi-index | 0.00 |
A lot of research and development have been done on producing Chinese fonts with smooth outlines and solid colouring for computer displays and printing. Existing Chinese fonts however are not able to reproduce or convey the aesthetic properties of the characters produced by calligraphers. Ip and Wong proposed a parameterised brush model called the Virtual Brush, which enables efficient representation and generation of Chinese calligraphic writings such that the rendering is scalable in resolution and allows high quality publishing. While other researchers always focus on synthesis, we are working as a pioneer on the reverse problem-calligraphic image analysis. Given a static calligraphic image, it is a labour-intensive task to construct a set of 3-D geometric and writing model parameters to obtain a dynamic representation. It is therefore desirable to develop an automated approach to estimate the Virtual Brush parameters from images of Chinese calligraphy. This paper describes a methodology of a statistical-based approach with image processing techniques for the automatic estimation of the set of Virtual Brush writing parameters, such as the properties of brush hair and variations of ink deposition along a stroke trajectory, directly from an image of calligraphic writing. With our proposed approach, raw digitalised images of Chinese calligraphic writings could be analysed automatically for storage and subsequent synthesis for high quality publishing of Chinese characters in different styles and calligraphic artwork.