Modeling and Manipulating Dynamic Font-based Hairy Brush Characters using Control-Theoretic B-spline Approach

In this study, we consider a problem of modeling and manipulating hairy-brush characters based on the so-called ‘dynamic font’ method with control-theoretic B-spline approach, in which the characters are constituted as a result of trajectory curves using normalized uniform B-splines as basis function. First, typefaces of pre-designed dynamic font characters with one-pixel thickness are transformed to hairy-brush ones by introducing a deep learning method ‘Pix2Pix’. We then develop a method for modeling hairy-brush characters by formulating the problem as an optimal function-approximation problem, which minimizes an input energy of writing trajectory. Also, manipulations for generating cursive words as seen in Japanese calligraphy in a systematic way are described. A design example of cursive words is included.