Facial Expression Recognition using Gabor Wavelet
نویسندگان
چکیده
منابع مشابه
Facial Expression Recognition using Gabor Wavelet
Facial expression recognition (FER) has good applications in different aspects of day-to-day life. But not yet realized due to unavailability of effective expression recognition techniques. This paper discusses the application of Gabor filter based feature extraction by using feed-forward neural networks (classifier) for recognition of four different facial expressions from still pictures of th...
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This work presents a new method for automatic facial feature tracking in video sequences. In this method, a discrete face template is represented as a linear combination of continuous 2D odd-Gabor wavelet functions.The weights and 2D parameters (position, scale and orientation) of each wavelet are determined optimally so that the maximum of image information is preserved for a given number of w...
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1 Electronics Department, Faculty of Electrical Engineering and Information Technology, University of Oradea, Universitatii ,1, 410087, Oradea, Romania, e-mail: [email protected] Electronics and Communications Faculty, „Politehnica” University of Timisoara, Bd. V. Pârvan Nr. 2, 300223 Timişoara, e-mail: [email protected] 3 Dept. of Informatics, Aristotle University of Thessaloniki, GR –...
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Facial Expression is one of the most natural, and powerful means for human beings to Communicate their emotions and intentions. The recognition of facial expressions is very important for interactive Human Computer Interfaces. One crucial step for facial expression recognition (FER) is the accurate extraction of emotional features. Numerous feature extraction techniques have been developed for ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/11718-7290