Image-Space Acceleration for Real-Time Rendering

PhD Qualifying Examination


Title: "Image-Space Acceleration for Real-Time Rendering"

Mr. Lei YANG


Abstract:

Recent advances of high-performance graphics hardware and relevant
algorithms have made real-time rendering of many photorealistic special
effects and complex scenes possible. As performance is one of the primal
demands of such real-time rendering systems, many researchers have
focused on general and special techniques for accelerating the process,
resulting in a multitude of different algorithms. In particular,
algorithms that are based on or manipulate images receive special
attention, due to their simplicity in both representation and
implementation.

This report gives an overview of the present image-space techniques used
for accelerating general real-time rendering tasks. The techniques are
categorized into four basic acceleration methodologies: simplifying
data, removing futile data, reusing duplicated computation, and trading
quality for speed. For each of the types, relevant techniques from the
groundbreaking ones to the state-of-the-art ones are reviewed in
details, grouped by their problem-solving strategies. The strengths and
weaknesses of the methods are also discussed, together with their
relationship to other approaches.

The effectiveness of the techniques in discussion varies dramatically
when applied to different applications. Each technique has its own
constraints on scene complexity, type of motion, hardware support, and
bottleneck type. At the end of this report, we will review and compare
different approaches in a table. Their targets, limitations and
artifacts are highlighted for facilitating technique selection as well
as exposing promising areas for algorithmic improvements.


Date:     		Tuesday, 26 August 2008

Time:                   4:00p.m.-6:00p.m.

Venue:                  Room 3304
			lifts 17-18

Committee Members:      Dr. Pedro Sander (Supervisor)
			Dr. Chi-Keung Tang (Chairperson)
			Dr. Huamin Qu
			Prof. Long Quan


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