Statistic Model-Based Simulation on Calligraphy Creation

Calligraphy is classic course of imagery thinking.The authors manage to create new stroke shape of calligraphy character based on a statistical model with parameter:X=M(b).Where X is target stroke with new styles and parameter b is a vector to adjust the stroke features(e.g.long or short of the stroke).When the parameter is changed with some specific values,new style could be generated.Therefore,some samples are selected in order to form a training set.Each of them is marked with several points,including the points on the contour and the control points which will be used by generating the consecutive contour curve later.After that,the training set is aligned by using Generalized Procrustes Analysis and the primary features of these samples are extracted by Principal Components Analysis.Later on,a few characteristic features in the training set are extracted and represented by the form of several eigenvectors.With the extracted features,new styles of strokes can be generated.Then,stroke one(Horizontals)in "Li" style of Chinese calligraphy is illustrated with simulation results.Simulation of intelligence,patterns of imagery thinking and model of cognition are key issues here.Current work is only the first step.