Artistic style characterization and brush stroke modelling for non-photorealistic rendering

This paper presents an algorithm for brush stroke characterization to capture the style of Van Gogh through extracting the shape and texture features. Those features were then tested for their representability using machine learning techniques, proving 89.53% of accuracy in differentiating Van Gogh from his contemporary. This paper also outlines the modelling of a series of digital brush strokes using a coordinated particle system. The tested features are transformed into parameters for the brush stroke model to render an input image in the style of Van Gogh.