: Selective Rendering Algorithms based on Memory Schemas

Contract Information

Programme:	NATIONAL PROGRAMMES
Programme Acronym:	OTHER EU PROGRAMMES
Contract Type:	NO CONTRACT TYPE
Start Date:	2011-04-13
End Date:	2014-04-13
Contract No:	N/A
Role for TUC/MUSIC:	Prime Contractor
Funding for TUC/MUSIC:	45000.0 Euros
Principal Investigator for TUC/MUSIC:	Katerina Mania

Project Information

Project Description

In order to economize on rendering computation, selective rendering guides high level of detail to specific regions of a synthetic scene and lower quality to the remaining scene, without compromising the level of information transmitted. Scene regions that have been rendered in low and high quality can be combined to form one complete scene. Such decisions are guided by predictive attention modeling, gaze or task-based information.

We propose a novel selective rendering approach which is task and gaze-independent, simulating cognitive creation of spatial hypotheses. Scene objects are rendered in varying polygon quality according to how they are associated with the context (schema) of the scene. Experimental studies in synthetic scenes have revealed that consistent objects which are expected to be found in a scene can be rendered in lower quality without affecting information uptake. Exploiting such expectations, inconsistent items which are salient require a high level of rendering detail in order for them to be perceptually acknowledged. This is a truly interdisciplinary project attempting to simulate cognition rather than physics.

Collaborators:
Dr George Drettakis, INRIA Sophia Antipolis
Dr Douglas Cunningham, Technical University of Cottbus, Germany

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