Beyond blur: real-time ventral metamers for foveated rendering
| Autor: | Tobias Ritschel, Kaan Akşit, David Swapp, Rafael Kuffner dos Anjos, Anthony Steed, David R. Walton, Sebastian Friston |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Framebuffer
Pixel Computer science business.industry Noise reduction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Graphics and Computer-Aided Design Rendering (computer graphics) Vision science Steerable filter Peripheral vision Computer vision Artificial intelligence business Texture synthesis |
| ISSN: | 0730-0301 |
| Popis: | To peripheral vision, a pair of physically different images can look the same. Such pairs are metamers relative to each other, just as physically-different spectra of light are perceived as the same color. We propose a real-time method to compute such ventral metamers for foveated rendering where, in particular for near-eye displays, the largest part of the framebuffer maps to the periphery. This improves in quality over state-of-the-art foveation methods which blur the periphery. Work in Vision Science has established how peripheral stimuli are ventral metamers if their statistics are similar. Existing methods, however, require a costly optimization process to find such metamers. To this end, we propose a novel type of statistics particularly well-suited for practical real-time rendering: smooth moments of steerable filter responses. These can be extracted from images in time constant in the number of pixels and in parallel over all pixels using a GPU. Further, we show that they can be compressed effectively and transmitted at low bandwidth. Finally, computing realizations of those statistics can again be performed in constant time and in parallel. This enables a new level of quality for foveated applications such as such as remote rendering, level-of-detail and Monte-Carlo denoising. In a user study, we finally show how human task performance increases and foveation artifacts are less suspicious, when using our method compared to common blurring. |
| Databáze: | OpenAIRE |
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