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UMBC dissertation proposal: Rendering Massive Models

October 9th, 2007 by tim finin

UMBC PhD student Mark Bolstad is presenting his dissertation proposal on Rendering Massive Models at 9:00am Monday, October 15th in room ITE 352. If you are interested in computer graphics and what a dissertation in the area is like, you might attend. In general, thesis and dissertation proposals and defenses are open to the public and attending some is a great way to learn about an important aspect of graduate study. Here is the dissertation abstract.

Rendering Massive Models

Mark Bolstad

Whether it is for the quest of increased visual realism in cinema, or in the processing of the latest scientific data sets, the sizes of models being rendered are becoming larger. As this trend continues, the number of elements within a scene or a single object will exceed four billion, thus requiring 64-bit data structures to reference the components of the object, and consequently, new techniques and algorithms to efficiently renderer the object.

This dissertation will present a system that will have the ability to render models of extreme complexity. The system will be designed to generate photo-realistic images of complex scenes, but is not strictly limited to those types of images. The system will support procedural shading, global illumination, and scene geometry that exceeds four billion primitives, whether it is in a single complex objects, or in a scene with a large number of simple primitives. Some of the unique contributions in this proposal are:

Rendering models of extreme complexity: This will be the first rendering system that will be capable of rendering scenes with geometric complexity exceeding four billion elements.
Stochastic algorithms for geometry processing: A unique stochastic algorithm is proposed that reduces the total amount of geometry processed by the renderer with little to no impact on the visual quality.
Acceleration structures for improving the performance when rendering scenes of extreme complexity: Many of the acceleration structures used for rendering do not scale well with large models. This dissertation proposes modifications to existing acceleration structures to not only increase their efficiency with respect to large models, but to also identify the best candidate for use with a scan-line algorithm.

Dissertation committee:

Dr. Marc Olano (chair)
Dr. Penny Rheingans
Dr. Hillol Kargupta
Dr. Charles Nicholas
Dr. Howard Motteler

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