Continuous Glass Patterns for Painterly Rendering

Abstract

Glass patterns have been exhaustively studied both in the vision literature and from a purely mathematical point of view. We extend the related formalism to the continuous case and we show that continuous Glass patterns can be used for artistic imaging applications. The general idea is to replace natural texture present in an input image with synthetic painterly texture that is generated by means of a continuous Glass pattern, whose geometrical structure is controlled by the gradient orientation of the input image. The behavior of the proposed algorithm is analytically interpreted in terms of the theory of dynamical systems. Experimental results on a broad range of input images validate the effectiveness of the proposed method in terms of lack of undesired artifacts, which are present with other existing methods, and easy interpretability of the input parameters.

Glass Patterns and Artistic Imaging

“…10) makes the method versatile and promising. This work improves a previous work of us presented in [33] in terms of a smaller amount of computational steps and input parameters. Experimental results on a broad range of input images validate the effectiveness of the proposed method.…”

Reduced Inverse Distance Weighting Interpolation for Painterly Rendering

“…5, is first to compute a vector field v(r), which determins the local brush stroke orientation, and then to render elongated curved brush strokes oriented along v(r). Brush strokes are rendered by means of the operator desribed in [16,17], which is based on the theory of Glass patterns. With respect to other algorithms for brush strokes simulation, the one proposed in [16,17] has the advantage to be fast and free from and magic numbers.…”

Motion-coherent stylization with screen-space image filters

“…For instance, Lum and Ma [2001] used line integral convolutions [Cabral and Leedom 1993] to reproduce watercolor washes. A variant of this technique has also been used to generate glass patterns [Papari and Petkov 2009], which have also been remarked for their painterly quality. We demonstrate the use of such lters in our pipeline, in combination with 3D solid noise, and driven by geometrical data from G-bu ers.…”