Title :
An improved neural-network-based face detection and facial expression classification system
Author :
Stathopoulou, Ioanna-Ourania ; Tsihrintzis, George A.
Author_Institution :
Dept. of Informatics, Piraeus Univ.
Abstract :
Automatic facial expression recognition is one of the most difficult and important problems in the scientific areas of cybernetics, pattern recognition and computer vision and their technological applications. New, friendlier human-computer interaction modes and multimedia interactive services require processing of images obtained with the use of multiple cameras to detect the presence and location of computer users´ faces and determine their affective state. In order to be fully automated, the system proposed in this paper, consists of two modules: firstly, we use a face detection algorithm to determine whether or not there are any faces in the image and, if so, return the location and extent of each face, and secondly, we use a facial expression classification module to determine the facial expression of a person
Keywords :
emotion recognition; face recognition; neural nets; automatic facial expression recognition; facial expression classification system; human-computer interaction modes; multimedia interactive services; neural-network-based face detection; Application software; Artificial neural networks; Face detection; Face recognition; Feature extraction; Humans; Informatics; Pattern recognition; Psychology; State estimation;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1398376