000110848 001__ 110848
000110848 005__ 20240212170624.0
000110848 0247_ $$2doi$$a10.1145/3414685.3417773
000110848 0248_ $$2sideral$$a122202
000110848 037__ $$aART-2020-122202
000110848 041__ $$aeng
000110848 100__ $$0(orcid)0000-0002-7796-3177$$aSerrano, Ana$$uUniversidad de Zaragoza
000110848 245__ $$aImperceptible manipulation of lateral camera motion for improved virtual reality applications
000110848 260__ $$c2020
000110848 5060_ $$aAccess copy available to the general public$$fUnrestricted
000110848 5203_ $$aVirtual 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.
000110848 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T34-17R$$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/765121/EU/DyViTo: Dynamics in Vision and Touch - the look and feel of stuff/DyViTo$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 765121-DyViTo$$9info:eu-repo/grantAgreement/ES/MINECO/PID2019-105004GB-I00$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P
000110848 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000110848 590__ $$a5.414$$b2020
000110848 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b9 / 108 = 0.083$$c2020$$dQ1$$eT1
000110848 592__ $$a2.153$$b2020
000110848 593__ $$aComputer Graphics and Computer-Aided Design$$c2020$$dQ1
000110848 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000110848 700__ $$0(orcid)0000-0002-0073-6398$$aMartin, Daniel$$uUniversidad de Zaragoza
000110848 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza
000110848 700__ $$aMyszkowski, Karol
000110848 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belen$$uUniversidad de Zaragoza
000110848 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000110848 773__ $$g39, 6 (2020), 267 [14 pp.]$$pACM trans. graph.$$tACM TRANSACTIONS ON GRAPHICS$$x0730-0301
000110848 8564_ $$s833008$$uhttps://zaguan.unizar.es/record/110848/files/texto_completo.pdf$$yPostprint
000110848 8564_ $$s2105724$$uhttps://zaguan.unizar.es/record/110848/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000110848 909CO $$ooai:zaguan.unizar.es:110848$$particulos$$pdriver
000110848 951__ $$a2024-02-12-17:05:36
000110848 980__ $$aARTICLE