DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.258
Thomas Bashford-Rogers , Univeristy of Warwick, Warwick
Kurt Debattista , Univeristy of Warwick, Warwick
Alan Chalmers , Univeristy of Warwick, Warwick
In this paper we present an automatic and efficient method for supporting Image Based Lighting (IBL) for bidirectional methods which improves both the sampling of the environment, and the detection and sampling of important regions of the scene, such as windows and doors. These often have a small area proportional to that of the entire scene, so paths which pass through them are generated with a low probability. The method proposed in this paper improves this by taking into account view importance, and modifies the lighting distribution to use light transport information. This also automatically constructs a sampling distribution in locations which are relevant to the camera position, thereby improving sampling. Results are presented when our method is applied to bidirectional rendering techniques, in particular we show results for Bidirectional Path Tracing, Metropolis Light Transport and Progressive Photon Mapping. Efficiency results demonstrate speed up of orders of magnitude (depending on the rendering method used), when compared to other methods.
and texture, Raytracing, Color, shading, shadowing
Thomas Bashford-Rogers, Kurt Debattista, Alan Chalmers, "Importance Driven Environment Map Sampling", IEEE Transactions on Visualization & Computer Graphics, vol. , no. , pp. 0, 5555, doi:10.1109/TVCG.2013.258