Virtual hairy brush for painterly rendering

Virtual hairy brush for painterly rendering q

We propose a novel ‘‘e-brush’’ for calligraphy and painting, which meets all the criteria for a good e-brush. We use only four attributes to capture the essential features of the brush, and a suitably powerful modeling metaphor for its behavior. The e-brush s geometry, dynamic motions, and pigment changes are all dealt with in a single model. A single model simplifies the synchronization betwee...

Adaptive Brush Stroke Generation for Painterly Rendering

We propose adaptive brush stroke generation for source images, using reference data. Colors used are formed by actual palette colors from artists. To create the palette, we have referred mostly to colors used in Van Gogh’s works and determined the color of brush strokes by transferring it to the most similar one, through comparing colors used in source images and the palette colors. Also, by re...

A Solid Model Based Virtual Hairy Brush

We present the detailed modeling of the hairy brush used typically in Chinese calligraphy. The complex model, which includes also a model for the ink and the paper, covers the various stages of the brush going through a calligraphy process. The model relies on the concept of writing primitives, which are the smallest units of hair clusters, to reduce the load on the simulation. Each such primit...

Flow-Centric Painterly Rendering

We present a painterly rendering technique that emphasizes smooth line flows to describe important shapes in the image, as well as contributing in an essential part to the final stylistic artwork. Our method uses the smoothed edge tangent flow (ETF) [20] for stroke pathing, and provides an artist-friendly way to control the general look and feel of the image using familiar brush stroke properti...

Reverse Painterly Rendering