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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035309Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221207T153000
DTEND;TZID=Asia/Seoul:20221207T170000
UID:siggraphasia_SIGGRAPH Asia 2022_sess163_papers_309@linklings.com
SUMMARY:Geo-metric: A Perceptual Dataset of Distortions on Faces
DESCRIPTION:Technical Communications, Technical Papers\n\nGeo-metric: A Pe
 rceptual Dataset of Distortions on Faces\n\nWolski, Trutoiu, Dong, Shen, M
 acKenzie...\n\nIn this work we take a novel perception-centered approach t
 o quantify distortions on 3D geometry of faces, to which humans are partic
 ularly sensitive. We generated a dataset, composed of 100 high-quality and
  demographically-balanced face scans. We then subjected these meshes to di
 stortions that cover relevant use cases in computer graphics, and conducte
 d a large-scale perceptual study to subjectively evaluate them. Our datase
 t consists of over 84,000 quality comparisons, making it the largest ever 
 psychophysical dataset for geometric distortions. Finally, we demonstrate 
 how our data can be used for applications like metrics, compression, and l
 evel-of-detail rendering.\n\nRegistration Category: FULL ACCESS, ON-DEMAND
  ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_309&sess=sess16
 3
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