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Please use this identifier to cite or link to this item: https://doi.org/10.1007/11564386_20
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dc.titleThe CMU face in action (FIA) database
dc.contributor.authorGoh R.
dc.contributor.authorLiu L.
dc.contributor.authorLiu X.
dc.contributor.authorChen T.
dc.date.accessioned2018-08-21T05:09:43Z
dc.date.available2018-08-21T05:09:43Z
dc.date.issued2005
dc.identifier.citationGoh R., Liu L., Liu X., Chen T. (2005). The CMU face in action (FIA) database. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3723 LNCS : 255-263. ScholarBank@NUS Repository. https://doi.org/10.1007/11564386_20
dc.identifier.isbn3540292292
dc.identifier.isbn9783540292296
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/146308
dc.description.abstractOur team has collected a face video database named the CMU Face In Action (FIA) database. This database consists of 20-second videos of face data from 180 participants mimicking a passport checking scenario. The data is captured by six synchronized cameras from three different angles, with an 8-mm and 4-mm focal-length for each of these angles. We performed the collection in both a controlled, indoor environment and an open, outdoor environment for each participant. Our data collection was taken in three sessions over a period of ten months. We aimed for a three month separation between sessions for each participant. We expect the database to be useful for analysis and modeling of faces and gestures.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentOFFICE OF THE PROVOST
dc.contributor.departmentDEPARTMENT OF COMPUTER SCIENCE
dc.description.doi10.1007/11564386_20
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume3723 LNCS
dc.description.page255-263
dc.published.statepublished
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