BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Asia/Tokyo X-LIC-LOCATION:Asia/Tokyo BEGIN:STANDARD TZOFFSETFROM:+0900 TZOFFSETTO:+0900 TZNAME:JST DTSTART:18871231T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250110T023312Z LOCATION:Hall B7 (1)\, B Block\, Level 7 DTSTART;TZID=Asia/Tokyo:20241203T163000 DTEND;TZID=Asia/Tokyo:20241203T164100 UID:siggraphasia_SIGGRAPH Asia 2024_sess111_papers_1237@linklings.com SUMMARY:COMFI: A Calibrated Observer Metameric Failure Index for Color Cri tical Tasks DESCRIPTION:Technical Papers\n\nRobert Wanat (LG Electronics USA), Michael D. Smith (Wavelet Consulting LLC), Junwoo Jang (LG Display), and Sally Ha ttori (Walt Disney Studios)\n\nIn imaging, various tasks require a compari son of images between displays with different emission spectra. Even if th e displays are calibrated and predicted to match using traditional colorim etry, individual differences in color perception of observers can cause co lors on two displays to appear mismatched. This phenomenon, known as obser ver metameric failure, can cause problems at different stages of content p roduction when multiple decision makers have to approve the image. In this paper, a new Calibrated Observer Metamerism Failure Index (COMFI) is prop osed for use in such cases to predict the possibility of observer metameri c failure.\n\nCOMFI was designed to predict the amount of disagreement abo ut color matching quality that can be expected from a group of expert view ers evaluating colors on two displays with different spectra. To that end, an experiment was conducted with the goal of estimating the amount of obs erver disagreement caused by observer metameric failure. Data from the exp eriment was used to drive the parameters of COMFI and to ensure its predic tions relate closely to the real world experience of observer metameric fa ilure.\n\nRegistration Category: Full Access, Full Access Supporter\n\nLan guage Format: English Language\n\nSession Chair: Yifan Peng (University of Hong Kong) URL:https://asia.siggraph.org/2024/program/?id=papers_1237&sess=sess111 END:VEVENT END:VCALENDAR