Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2361
Title: Facial expression classification based on MPEG-4 FAPs: the use of evidence and prior knowledge for uncertainty removal
Authors: Wallace, Manolis 
Raouzaiou, Amaryllis 
Tsapatsoulis, Nicolas 
Kollias, Stefanos D. 
metadata.dc.contributor.other: Τσαπατσούλης, Νικόλας
Keywords: Fuzzy systems;Facial expression;Face--Identification;Linguistics;Neural networks
Issue Date: 2004
Source: IEEE international conference on fuzzy systems - proceedings, 25-29 July 2004, Budapest
Abstract: As low resolution shots, rotations of the head with respect to the camera, face deformation due to speech and so on inflict a great deal of uncertainty in FAP measurements, uncertainty is also inherent in the process of expression analysis. We tackle such uncertainty via the observation that user emotions do not typically alter rapidly very often. Thus, possibilistic evidence may be gathered from each frame about the user expression; evidence from the current and recent frames can be combined using evidence theory
DOI: 10.1109/FUZZY.2004.1375686
Rights: © Copyright 2004 IEEE
Type: Conference Papers
Affiliation : National Technical University Of Athens 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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