{"title":"Optical measurement with foveated rendering and dynamic compensation in eye-tracking near-eye displays","authors":"Congshan Rui, Yining Li, Pengfei Li, Guanghang Mei, Mengna Zhao, Dongliang Shi, Xing Sun, Lei Zhao","doi":"10.1002/jsid.2081","DOIUrl":null,"url":null,"abstract":"<p>Eye-tracking technology has been widely adopted in the extended reality (XR) industry, particularly in applications such as foveated rendering, eye-tracking interactions, and optical algorithm compensation, enhancing user immersion and providing smooth virtual experiences. For near-eye display systems integrated with eye-tracking capabilities, optical performance metrics such as the contrast transfer function (CTF), distortion, chromaticity uniformity (CU), and chromatic aberration (CA) vary with shifts in the user's fixation point, rendering traditional measurement methods inadequate for such systems. To address this, this paper proposes a novel approach for measuring CTF based on foveated rendering, as well as a dynamic compensation-based method for assessing distortion, CU and CA in eye-tracking near-eye display systems. Experiments are conducted to measure the CTF under both eye-tracked foveated rendering (ETFR) and fixed foveated rendering (FFR). The results demonstrate that the CTF under ETFR is higher than that under FFR, more accurately reflecting the image clarity perceived by the human eye. Additionally, CU shows marked improvement after compensation, with a noticeable reduction in green color shift. The average \n<span></span><math>\n <mo>∆</mo>\n <msup>\n <mi>u</mi>\n <mo>′</mo>\n </msup>\n <msup>\n <mi>v</mi>\n <mo>′</mo>\n </msup></math> decreases from 0.0092 to 0.0042, suggesting improved CU. Moreover, dynamic distortion is effectively mitigated after compensation. However, CA exhibited no significant improvement after compensation.</p>","PeriodicalId":49979,"journal":{"name":"Journal of the Society for Information Display","volume":"33 5","pages":"653-663"},"PeriodicalIF":2.2000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Society for Information Display","FirstCategoryId":"5","ListUrlMain":"https://sid.onlinelibrary.wiley.com/doi/10.1002/jsid.2081","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Eye-tracking technology has been widely adopted in the extended reality (XR) industry, particularly in applications such as foveated rendering, eye-tracking interactions, and optical algorithm compensation, enhancing user immersion and providing smooth virtual experiences. For near-eye display systems integrated with eye-tracking capabilities, optical performance metrics such as the contrast transfer function (CTF), distortion, chromaticity uniformity (CU), and chromatic aberration (CA) vary with shifts in the user's fixation point, rendering traditional measurement methods inadequate for such systems. To address this, this paper proposes a novel approach for measuring CTF based on foveated rendering, as well as a dynamic compensation-based method for assessing distortion, CU and CA in eye-tracking near-eye display systems. Experiments are conducted to measure the CTF under both eye-tracked foveated rendering (ETFR) and fixed foveated rendering (FFR). The results demonstrate that the CTF under ETFR is higher than that under FFR, more accurately reflecting the image clarity perceived by the human eye. Additionally, CU shows marked improvement after compensation, with a noticeable reduction in green color shift. The average
decreases from 0.0092 to 0.0042, suggesting improved CU. Moreover, dynamic distortion is effectively mitigated after compensation. However, CA exhibited no significant improvement after compensation.
眼动追踪技术已广泛应用于扩展现实(XR)行业,特别是在注视点渲染、眼动追踪交互、光学算法补偿等应用中,增强了用户沉浸感,提供了流畅的虚拟体验。对于具有眼动追踪功能的近眼显示系统,对比度传递函数(CTF)、失真、色度均匀性(CU)和色差(CA)等光学性能指标会随着用户注视点的变化而变化,这使得传统的测量方法不适用于此类系统。为了解决这一问题,本文提出了一种基于注视点渲染的CTF测量方法,以及一种基于动态补偿的眼动追踪近眼显示系统畸变、CU和CA评估方法。实验测量了眼动注视点绘制(ETFR)和固定注视点绘制(FFR)下的CTF。结果表明,ETFR下的CTF高于FFR下的CTF,能更准确地反映人眼感知到的图像清晰度。此外,CU在补偿后表现出明显的改善,绿色偏移明显减少。平均∆u ‘ v ’从0.0092下降到0.0042,表明CU得到改善。此外,补偿后的动态失真也得到了有效的缓解。但补偿后CA无明显改善。
期刊介绍:
The Journal of the Society for Information Display publishes original works dealing with the theory and practice of information display. Coverage includes materials, devices and systems; the underlying chemistry, physics, physiology and psychology; measurement techniques, manufacturing technologies; and all aspects of the interaction between equipment and its users. Review articles are also published in all of these areas. Occasional special issues or sections consist of collections of papers on specific topical areas or collections of full length papers based in part on oral or poster presentations given at SID sponsored conferences.