Frame-to-Frame Coherent Animation with Two-Pass Radiosity

This paper proposes an efficient method for the production of high quality radiosity solutions which makes use of the a-priori knowledge of the dynamic properties of the scene in order to exploit temporal coherence. The method is based on a two-pass strategy that provides user-control on the final frame quality. In the first pass, it computes a coarse global solution of the radiosities along a time interval and then, in the second pass, it performs a frame-to-frame incremental gathering step using hardware graphics accelerators. The frame production computing cost is thus reduced because the method takes advantage of frame-to-frame coherence by identifying the changes produced by dynamic objects, and by decoupling them from computations that remain unchanged. The input data is a dynamic model of the environment through a period of time corresponding to the same camera recording. The method proceeds by incrementally updating two data structures: a space-time hierarchical radiosity solution for a given interval of time, and a hierarchical tree of textures representing