Global Illumination Thesis

Global Illumination Thesis-77
However, a high-resolution voxel approximation, which is necessary for good quality, consumes much memory, and a compact data structure for storing the voxels is necessary.

However, a high-resolution voxel approximation, which is necessary for good quality, consumes much memory, and a compact data structure for storing the voxels is necessary.

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This is done by both combining the lighting distribution with view importance,and automatically determining the important areas of the scene in which to startlight paths.

This gives a speed up of between three times, and two orders ofmagnitude, depending on scene and lighting complexity.

The second is an unbiasedphysically-based algorithm for improving the efficiency of path generation whencalculating global illumination in complicated scenes.

This is adaptive, and learnsinformation about the lighting in the scene as the rendering progresses, and usesthis to reduce variance in the image.

In the comparison, we find that the octree performs worse than the clipmap with respect to memory consumption and performance, due to the overhead introduced by the complex octree data structure.

However, with respect to visual quality, the octree is the superior choice, since the clipmap does not provide the same voxel resolution everywhere.

Implementing the octree and adding features to it was a massive headache, because it is not difficult to accidentaly create subtle bugs that only appear in large, unwieldy octrees that are difficult debug.

Many hours ended up being spent on debugging the octree.

As a result, you basically have to rediscover much of what the previous authors did by trying different approaches and experimenting a lot.

This consumes much time, and resulted in my initial time schedule not working out in the end.

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