000168365 001__ 168365
000168365 005__ 20260204153543.0
000168365 0247_ $$2doi$$a10.1145/3610548.3618226
000168365 0248_ $$2sideral$$a147455
000168365 037__ $$aART-2023-147455
000168365 041__ $$aeng
000168365 100__ $$aChen, Bin
000168365 245__ $$aThe effect of display capabilities on the gloss consistency between real and virtual objects
000168365 260__ $$c2023
000168365 5060_ $$aAccess copy available to the general public$$fUnrestricted
000168365 5203_ $$aA faithful reproduction of gloss is inherently difficult because of the limited dynamic range, peak luminance, and 3D capabilities of display devices. This work investigates how the display capabilities affect gloss appearance with respect to a real-world reference object. To this end, we employ an accurate imaging pipeline to achieve a perceptual gloss match between a virtual and real object presented side-by-side on an augmented-reality high-dynamic-range (HDR) stereoscopic display, which has not been previously attained to this extent. Based on this precise gloss reproduction, we conduct a series of gloss matching experiments to study how gloss perception degrades based on individual factors: object albedo, display luminance, dynamic range, stereopsis, and tone mapping. We support the study with a detailed analysis of individual factors, followed by an in-depth discussion on the observed perceptual effects. Our experiments demonstrate that stereoscopic presentation has a limited effect on the gloss matching task on our HDR display. However, both reduced luminance and dynamic range of the display reduce the perceived gloss. This means that the visual system cannot compensate for the changes in gloss appearance across luminance (lack of gloss constancy), and the tone mapping operator should be carefully selected when reproducing gloss on a low dynamic range (LDR) display.
000168365 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2022-141539NB-I00
000168365 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000168365 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000168365 700__ $$aJindal, Akshay
000168365 700__ $$aPiovarci, Michal
000168365 700__ $$aWang, Chao
000168365 700__ $$aSeidel, Hans-Peter
000168365 700__ $$aDidyk, Piotr
000168365 700__ $$aMyszkowski, Karol
000168365 700__ $$0(orcid)0000-0002-7796-3177$$aSerrano, Ana$$uUniversidad de Zaragoza
000168365 700__ $$aMantiuk, Rafal K.
000168365 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000168365 773__ $$g90 (2023), [11 pp.]$$pProc. ACM SIGGRAPH$$tProceedings of ACM SIGGRAPH$$x2376-1180
000168365 8564_ $$s1166332$$uhttps://zaguan.unizar.es/record/168365/files/texto_completo.pdf$$yVersión publicada
000168365 8564_ $$s965573$$uhttps://zaguan.unizar.es/record/168365/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000168365 909CO $$ooai:zaguan.unizar.es:168365$$particulos$$pdriver
000168365 951__ $$a2026-02-04-13:14:35
000168365 980__ $$aARTICLE