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George N. Votsis
Researcher at National Technical University of Athens
Publications - 5
Citations - 2285
George N. Votsis is an academic researcher from National Technical University of Athens. The author has contributed to research in topics: Polygon mesh & Image segmentation. The author has an hindex of 3, co-authored 5 publications receiving 2151 citations.
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Journal ArticleDOI
Emotion recognition in human-computer interaction
Roddy Cowie,Ellen Douglas-Cowie,Nicolas Tsapatsoulis,George N. Votsis,Stefanos Kollias,W. Fellenz,John G. Taylor +6 more
TL;DR: Basic issues in signal processing and analysis techniques for consolidating psychological and linguistic analyses of emotion are examined, motivated by the PKYSTA project, which aims to develop a hybrid system capable of using information from faces and voices to recognize people's emotions.
Journal ArticleDOI
A modular approach to facial feature segmentation on real sequences
TL;DR: A modular approach of gradual confidence for facial feature extraction over real video frames is presented, producing a posteriori knowledge about the face and leading to a step-by-step visualization of the features in search.
Journal Article
Compact 3D model generation based on 2D views of human faces : application to face recognition
TL;DR: A face recognition and synthetic natural hybrid coding tool involving frontal and pro le views is presented in this paper and adapts a generic D head model polygon mesh according to the predetermined information gained by the available views.
Book ChapterDOI
A Neural-Network-Based Approach to Adaptive Human Computer Interaction
George N. Votsis,Nikolaos Doulamis,Anastasios Doulamis,Nicolas Tsapatsoulis,Stefanos Kollias +4 more
TL;DR: A neural-network-based approach is proposed in this paper providing multimedia systems with the ability to adapt their performance to the specific needs and characteristics of their users.
Book ChapterDOI
A Simplified Representation of 3D Human Faces adapted from 2D Images
TL;DR: An approach towards simplified models of human faces, given 2D images, is proposed in this paper and involves the utilization of the 2D views and the adaptation of a generic 3D head model (polygon mesh) according to the information gained by the available views.