Face image recognition based on time series motif discovery

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dc.contributor.author Chi, Lianhua en_US
dc.contributor.author Feng, Yucai en_US
dc.contributor.author Chi, Hehua en_US
dc.contributor.author Huang, Ying en_US
dc.contributor.editor NA en_US
dc.date.accessioned 2014-04-03T01:23:27Z
dc.date.available 2014-04-03T01:23:27Z
dc.date.issued 2012 en_US
dc.identifier 2012004362 en_US
dc.identifier.citation Feng, Yucai et al. 2012, 'Face image recognition based on time series motif discovery', IEEE, Piscataway, USA, pp. 72-77. en_US
dc.identifier.issn 978-1-4673-2310-9 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/22962
dc.description.abstract This paper proposes a new face image recognition method based on time series motifs. Time series motifs are previously unknown, frequently occurring patterns in time series. In this paper, we make full use of time series motifs to discovery and recognize the face images. First, we convert face images into time series by extracting the time series features from three (primary color) vectors of the color face images. Second, we introduce our time series motif discovery algorithm to excavate the hidden motifs from the time series of color face images. Third, we find the relationship among these generated time series. At last, experiments are conducted to verify the feasibility and effectiveness of our algorithm, and we can safely draw a conclusion that our approach in the face recognition field is valid and successfully realizes the face image recognition from a new perspective. en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/GrC.2012.6468574 en_US
dc.title Face image recognition based on time series motif discovery en_US
dc.parent 2012 IEEE International Conference on Granular Computing (GrC) en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Piscataway, USA en_US
dc.identifier.startpage 72 en_US
dc.identifier.endpage 77 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 11585229 en_US
dc.personcode 0000095077 en_US
dc.personcode 0000095078 en_US
dc.personcode 0000095079 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IEEE International Conference on Granular Computing (GrC) en_US
dc.date.activity 20120811 en_US
dc.location.activity Hangzhou en_US
dc.description.keywords face image recognition; color face images; time series; motif en_US

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