Abstract | ||
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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 |
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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 Stengel | 1 | 120 | 9.80 |
Steve Grogorick | 2 | 52 | 7.30 |
martin eisemann | 3 | 383 | 26.40 |
Marcus A. Magnor | 4 | 1848 | 150.18 |