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3D Facial Feature Extraction and Recognition

Autor Sokyna Al-Qatawneh
en Limba Engleză Paperback – 24 mai 2012
Recently with the development of more affordable 3D acquisition systems and the availability of 3D face databases, 3D face recognition has been attracting interest to tackle the limitations in performance of most existing 2D systems. In this research, we introduce a robust automated 3D Face recognition system that implements 3D data of faces with different facial expressions, hair, shoulders, clothing, etc., extracts features for discrimination and uses machine learning techniques to make the final decision. A novel system for automatic processing for 3D facial data has been implemented using multi stage architecture; in a pre-processing and registration stage the data was standardized, spikes were removed, holes were filled and the face area was extracted. Then the nose region, which is relatively more rigid than other facial regions in an anatomical sense, was automatically located and analysed by computing the precise location of the symmetry plane. Then useful facial features and a set of effective 3D curves were extracted. Finally, the recognition and matching stage was implemented by using CCNN and SVM for classification, and the KNN algorithms for matching.
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Specificații

ISBN-13: 9783846501498
ISBN-10: 3846501492
Pagini: 196
Dimensiuni: 152 x 229 x 11 mm
Greutate: 0.3 kg
Editura: LAP LAMBERT ACADEMIC PUBLISHING AG & CO KG
Colecția LAP Lambert Academic Publishing

Notă biografică

Dr.AlQatawneh has obtained her BSc in Computer Science from Mu'tah University,Higher Diploma and MSc in Computer Science from AAU(Jordan)in 2003,2004 and 2005 respectively.Also,she has completed her PhD in Computing from Bradford University(UK)in 2010.Her research interests include digital image processing,3D pattern recognition & machine learning.