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TZID:Asia/Seoul
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TZOFFSETTO:+0900
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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_309@linklings.com
SUMMARY:Geo-metric: A Perceptual Dataset of Distortions on Faces
DESCRIPTION:Technical Papers\n\nGeo-metric: A Perceptual Dataset of Distor
 tions on Faces\n\nWolski, Trutoiu, Dong, Shen, MacKenzie...\n\nIn this wor
 k we take a novel perception-centered approach to quantify distortions on 
 3D geometry of faces, to which humans are particularly sensitive. We gener
 ated a dataset, composed of 100 high-quality and demographically-balanced 
 face scans. We then subjected these meshes to distortions that cover relev
 ant use cases in computer graphics, and conducted a large-scale perceptual
  study to subjectively evaluate them. Our dataset 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 f
 or applications like metrics, compression, and level-of-detail rendering.\
 n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERIENCE 
 ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_309&sess=sess15
 3
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