Global Illumination Thesis

This thesis presentsseveral methods to improve the speed of global illumination computation, andtherefore enables faster image synthesis.

This thesis presentsseveral methods to improve the speed of global illumination computation, andtherefore enables faster image synthesis.Global illumination can be calculated inan offline process, typically taking many minutes to hours to compute an accuratesolution, or it can be approximated at interactive or real-time rates.

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We find similar performance and quality with both voxelization algorithms.

Download Version 1.01(PDF, 33MB) Alternative Download Link Voxel cone tracing is a real-time method that approximates global illumination using a voxel approximation of the original scene.

Based on voxel cone tracing, we use a filtered representation of a scene to efficiently sample ambient light at each point in the scene.

We present an approach to scene voxelization using hardware tessellation and compare it with an approach utilizing hardware rasterization.

We also investigate possible methods of warped voxelization.

Our contributions include a complete and open-source implementation of voxel cone tracing along with both voxelization algorithms.

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.

This is my master's thesis, where I performed a comparison between the two data structures Clipmap and Sparse Voxel Octree for voxel cone tracing.

To do this comparison, I had to implement both of these two data structures, and about half-way into the project I realized that this was a vastly over-ambitious project.