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It reduces computational costs by showing a high-quality image in the user\u2019s central (foveal) vision and a lower quality image in the periphery. Foveated rendering is a promising optimization for Virtual Reality (VR) graphics, and generally requires accurate and low-latency eye tracking to ensure correctness even when a user makes large, fast eye movements such as saccades. However, due to the phenomenon of saccadic omission, it is possible that these requirements may be relaxed.<\/jats:p>\n          <jats:p>In this article, we explore the effect of latency for foveated rendering in VR applications. We evaluated the detectability of visual artifacts for three techniques capable of generating foveated images and for three different radii of the high-quality foveal region. Our results show that larger foveal regions allow for more aggressive foveation, but this effect is more pronounced for temporally stable foveation techniques. Added eye tracking latency of 80--150ms causes a significant reduction in acceptable amount of foveation, but a similar decrease in acceptable foveation was not found for shorter eye-tracking latencies of 20--40ms, suggesting that a total system latency of 50--70ms could be tolerated.<\/jats:p>","DOI":"10.1145\/3127589","type":"journal-article","created":{"date-parts":[[2017,9,15]],"date-time":"2017-09-15T12:20:54Z","timestamp":1505478054000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":185,"title":["Latency Requirements for Foveated Rendering in Virtual Reality"],"prefix":"10.1145","volume":"14","author":[{"given":"Rachel","family":"Albert","sequence":"first","affiliation":[{"name":"UC Berkeley and NVIDIA Research, Berkeley, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anjul","family":"Patney","sequence":"additional","affiliation":[{"name":"NVIDIA Research, Charlottesville, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Luebke","sequence":"additional","affiliation":[{"name":"NVIDIA Research, Charlottesville, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joohwan","family":"Kim","sequence":"additional","affiliation":[{"name":"NVIDIA Research, Santa Clara, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,9,14]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00221-009-2120-y"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1991.sp018781"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/0025-5564(75)90075-9"},{"key":"e_1_2_2_4_1","unstructured":"Nir Benty. 2016. 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