HEAL DSpace

Dealing with feature uncertainty in facial expression recognition

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dc.contributor.author Wallace, M en
dc.contributor.author Ioannou, S en
dc.contributor.author Raouzaiou, A en
dc.contributor.author Karpouzis, K en
dc.contributor.author Kollias, S en
dc.date.accessioned 2014-03-01T01:54:53Z
dc.date.available 2014-03-01T01:54:53Z
dc.date.issued 2006 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/27522
dc.subject Comparative Study en
dc.subject Expression Analysis en
dc.subject Facial Expression en
dc.subject Facial Expression Recognition en
dc.subject Facial Feature Extraction en
dc.subject Feature Extraction en
dc.subject Fuzzy Rules en
dc.subject Human Computer Interaction en
dc.subject Information Fusion en
dc.subject Video Processing en
dc.title Dealing with feature uncertainty in facial expression recognition en
heal.type journalArticle en
heal.identifier.primary 10.1504/IJISTA.2006.009916 en
heal.identifier.secondary http://dx.doi.org/10.1504/IJISTA.2006.009916 en
heal.publicationDate 2006 en
heal.abstract Since facial expressions are a key modality in human communication, the automated analysis of facial images for the estimation of the displayed expression is central in the design of intuitive and human friendly human-computer interaction systems. In existing approaches, over-formalised description of knowledge concerning the human face and human expressions, as well as failures of the image and video processing en
heal.journalName International Journal of Intelligent Systems Technologies and Applications en
dc.identifier.doi 10.1504/IJISTA.2006.009916 en


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