![]() ![]() This dissertation also extends this basic framework of progressive density estimation. ![]() In particular, the algorithm can efficiently simulate complex lighting fixtures from the filament/LED-level for the first time. Progressive density estimation led to a new light transport algorithm which can simulate many optical configurations that would be impractical to handle with any existing algorithm. The key feature of progressive density estimation is that the method does not need to store a full set of samples to guarantee convergence to the correct solution. The main contribution is a novel density estimation method, called progressive density estimation, which addresses fundamental limitations of existing density estimation methods. This dissertation introduces a new light transport simulation framework that significantly expands a class of scene configurations that we can handle.
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