Painterly Effects Rendering with Focus Based Level of Detail

Abstract

We present a novel method for automatically creating scalable and portable 2D non-photorealistically rendered (NPR) images with painterly effects, with level of detail control. The novelty of the approach lies both in using optical image analysis for automatic focus region extraction, and in producing the painterly rendered images as vector graphics. The approach is also novel in that we automatically extract the regions of higher interest without the need of any tools, devices, or a priori image information. The method is a combination of automatic relative focus map estimation and simple digital strokes for the foreground, and color image segmentation for the background. The images are rendered into scalable vector graphics (SVG) for easy viewing and editing with a variety of existing applications and use in other designs/graphics.