Emotional facial expression recognition from two different feature domains

  • There has been a significant amount of work on automatic facial expression recognition towards realizing affective interfaces in human-computer interaction (HCI). However, most previous works are based on specific users and dataset-specific methods and therefore the results should be strongly dependent on their lab settings. This makes it difficult to attain a generalized recognition system for different applications. In this paper, we present efficiency analysis results of two feature domains, Gabor wavelet-based feature space and geometric position-based feature space, by applying them to two facial expression datasets that are generated in quite different environmental settings.

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Metadaten
Author:Jonghwa KimORCiD, Frank Jung
URN:urn:nbn:de:bvb:384-opus4-1200353
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/120035
ISBN:978-989-674-021-4OPAC
Parent Title (English):Proceedings of the 2nd International Conference on Agents and Artificial Intelligence (ICAART 2010), January 22-24, 2010, Valencia, Spain, volume 1
Publisher:SciTePress
Place of publication:Setúbal
Editor:Joaquim Filipe, Ana Fred, Bernadette Sharp
Type:Conference Proceeding
Language:English
Year of first Publication:2010
Publishing Institution:Universität Augsburg
Release Date:2025/03/12
First Page:631
Last Page:634
DOI:https://doi.org/10.5220/0002737306310634
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)

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