Title
Adaptive Image-Space Sampling for Gaze-Contingent Real-time Rendering.
Abstract
With ever-increasing display resolution for wide field-of-view displays-such as head-mounted displays or 8k projectors-shading has become the major computational cost in rasterization. To reduce computational effort, we propose an algorithm that only shades visible features of the image while cost-effectively interpolating the remaining features without affecting perceived quality. In contrast to previous approaches we do not only simulate acuity falloff but also introduce a sampling scheme that incorporates multiple aspects of the human visual system: acuity, eye motion, contrast stemming from geometry, material or lighting properties, and brightness adaptation. Our sampling scheme is incorporated into a deferred shading pipeline to shade the image's perceptually relevant fragments while a pull-push algorithm interpolates the radiance for the rest of the image. Our approach does not impose any restrictions on the performed shading. We conduct a number of psycho-visual experiments to validate scene- and task-independence of our approach. The number of fragments that need to be shaded is reduced by 50 % to 80 %. Our algorithm scales favorably with increasing resolution and field-of-view, rendering it well-suited for head-mounted displays and wide-field-of-view projection.
Year
DOI
Venue
2016
10.1111/cgf.12956
Comput. Graph. Forum
Field
DocType
Volume
Computer vision,Deferred shading,Display resolution,Graphics pipeline,Real-time rendering,Computer science,Human visual system model,Artificial intelligence,Image-based modeling and rendering,Rendering (computer graphics),Software rendering
Journal
35
Issue
ISSN
Citations 
4
0167-7055
17
PageRank 
References 
Authors
0.79
28
4
Name
Order
Citations
PageRank
Michael Stengel11209.80
Steve Grogorick2527.30
martin eisemann338326.40
Marcus A. Magnor41848150.18