ICIP 2006, Atlanta, GA
 

Slide Show

Atlanta Conv. & Vis. Bureau

 

Technical Program

Paper Detail

Paper:WA-P6.2
Session:Biometrics
Time:Wednesday, October 11, 09:40 - 12:20
Presentation: Poster
Title: FUSION OF GEOMETRICAL AND TEXTURE INFORMATION FOR FACIAL EXPRESSION RECOGNITION
Authors: Irene Kotsia; Aristotle University of Thessaloniki 
 Nikolaos Nikolaidis; Aristotle University of Thessaloniki 
 Ioannis Pitas; Aristotle University of Thessaloniki 
Abstract: A novel method based on geometrical and texture information is proposed for facial expression recognition from video sequences. The Discriminant Non-negative Matrix Factorization (DNMF) algorithm is applied at the image of the last frame of the video sequence, corresponding to the greatest intensity of the facial expression, thus extracting the texture information. A Support Vector Machines (SVMs) system is used for the classification of the geometrical information derived from tracking the Candide grid over the video sequence. The geometrical information consists of the differences of the node coordinates between the neutral (first) and the fully expressed facial expression (last) video frame. The fusion of texture and geometrical information obtained is performed using SVMs. The accuracy achieved is 98,7% when recognizing the six basic facial expressions.