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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Tsapatsoulis_Facial Expression Classification based on MPEG.pdf | 85.78 kB | Adobe PDF | View/Open |
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