110848 20240212170624.0 doi 10.1145/3414685.3417773 sideral 122202 ART-2020-122202 eng Serrano, Ana Universidad de Zaragoza (orcid)0000-0002-7796-3177 Imperceptible manipulation of lateral camera motion for improved virtual reality applications 2020 Access copy available to the general public Unrestricted Virtual Reality (VR) systems increase immersion by reproducing users' movements in the real world. However, several works have shown that this real-to-virtual mapping does not need to be precise in order to convey a realistic experience. Being able to alter this mapping has many potential applications, since achieving an accurate real-to-virtual mapping is not always possible due to limitations in the capture or display hardware, or in the physical space available. In this work, we measure detection thresholds for lateral translation gains of virtual camera motion in response to the corresponding head motion under natural viewing, and in the absence of locomotion, so that virtual camera movement can be either compressed or expanded while these manipulations remain undetected. Finally, we propose three applications for our method, addressing three key problems in VR: improving 6-DoF viewing for captured 360° footage, overcoming physical constraints, and reducing simulator sickness. We have further validated our thresholds and evaluated our applications by means of additional user studies confirming that our manipulations remain imperceptible, and showing that (i) compressing virtual camera motion reduces visible artifacts in 6-DoF, hence improving perceived quality, (ii) virtual expansion allows for completion of virtual tasks within a reduced physical space, and (iii) simulator sickness may be alleviated in simple scenarios when our compression method is applied. info:eu-repo/grantAgreement/ES/DGA/T34-17R info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON info:eu-repo/grantAgreement/EC/H2020/765121/EU/DyViTo: Dynamics in Vision and Touch - the look and feel of stuff/DyViTo This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 765121-DyViTo info:eu-repo/grantAgreement/ES/MINECO/PID2019-105004GB-I00 info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 5.414 2020 COMPUTER SCIENCE, SOFTWARE ENGINEERING 9 / 108 = 0.083 2020 Q1 T1 2.153 2020 Computer Graphics and Computer-Aided Design 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Martin, Daniel Universidad de Zaragoza (orcid)0000-0002-0073-6398 Gutierrez, Diego Universidad de Zaragoza (orcid)0000-0002-7503-7022 Myszkowski, Karol Masia, Belen Universidad de Zaragoza (orcid)0000-0003-0060-7278 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 39, 6 (2020), 267 [14 pp.] ACM trans. graph. ACM TRANSACTIONS ON GRAPHICS 0730-0301 833008 http://zaguan.unizar.es/record/110848/files/texto_completo.pdf Postprint 2105724 http://zaguan.unizar.es/record/110848/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:110848 articulos driver 2024-02-12-17:05:36 ARTICLE