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21: Seeing is Believing: Reality Perception in Modeling, Rendering, and Animation
Sunday, Half Day, 1:30 - 5 pm
West Hall A

Advances in image synthesis techniques allow very precise simulation of light-energy distribution in a scene. Unfortunately, this does not ensure that the displayed image will have a high-fidelity visual appearance. This course addresses techniques to compare real and synthetic images, and identify important visual system characteristics. The ultimate result: significantly reduced rendering times. Case studies involving both static and dynamic images are presented, and their different perception-metric requirements are compared and contrasted.

Prerequisites
Appreciation of the need for perception evaluation. No prior knowledge of metrics is assumed, although knowledge of human vision and image-quality metrics may be an advantage.

Topics
The nature of images; relevant issues in human visual perception and their investigation using psychophysical methods; computational models of perception including spatial-frequency and orientation channels and visual masking; computational metrics including visual difference predictors, the Sarnoff model, and animation quality metrics; and psychophysical evaluation of image quality.

Organizers
Alan Chalmers
University of Bristol

Ann McNamara
The University of Dublin

Lecturers
Alan Chalmers
University of Bristol

Scott Daly
Sharp Laboratories of America, Inc.

Ann McNamara
The University of Dublin

Karol Myszkowski
Max-Planck-Institut für Informatik

Holly Rushmeier
IBM T.J. Watson Research Center

Tom Troscianko
University of Sussex


 

 

 

 

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