Improving Frameless Rendering by Focusing on Change

Abhinav Dayal
Northwestern University

Benjamin Watson
Northwestern University

David Luebke
University of Virginia

Rendering Techniques, Ed. Steven Gortler and Karol Myszkowski, Springer-Verlag, London (June 2001).

Abstract

Realtime rendering requires accurate display of a dynamic scene with minimal delay. Frameless rendering offers unique flexibility in this regard: because it samples time per pixel, it can respond to change with very little delay, and at any location in the image. However, sampling is random, resulting in blurring in changing image regions. We present an approach for improving frameless rendering by making sampling sensitive to change in the image, as suggested in . By measuring this change in visual terms, we are able to direct sampling to those regions of change. The resulting algorithm produces sharper imagery, while introducing minimal overhead into the standard frameless algorithm. will examine the use of our change sensitive approach in the context of distributed rendering .

Paper

 

David Luebke