A 3D Painterly Rendering Framework for Photon Mapping

Abstract

This paper presents a novel framework for 3D painterly rendering for photon mapping. We introduce a new non-photorealistic rendering pass and integrate it within the standard photon mapping pipeline. Our framework contains three passes. The photon tracing pass casts photons to exploit a three-dimensional scene and holds photon information in a data structure developed specifically for painterly rendering. The non-photorealistic rendering pass constructs the sparse map and informative map which preserve the attributes of strokes required for 3D painterly rendering. In this pass, we also employ an impressionistic line integral convolution algorithm producing various types of painterly rendering results. Finally, the rendering pass renders photorealistic objects generating the final image consisting of the scene with both artistic painterly styles and global illumination visual effects. We implemented our framework and developed an experimental rendering system on a personal computer environment. To the best of our knowledge, the proposed framework is the first that can take advantages of both global illumination and 3D painterly rendering environment. Experimental results and rendered images demonstrate the feasibility of our framework.