Bookcover of 3D Facial Feature Extraction and Recognition
Booktitle:

3D Facial Feature Extraction and Recognition

An investigation of correction and normalisation of the facial data, extraction of facial features and classification

LAP LAMBERT Academic Publishing (2012-04-07 )

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ISBN-13:

978-3-8465-0149-8

ISBN-10:
3846501492
EAN:
9783846501498
Book language:
English
Blurb/Shorttext:
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.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Sokyna Al-Qatawneh
Number of pages:
196
Published on:
2012-04-07
Stock:
Available
Category:
Informatics
Price:
68.00 €
Keywords:
SVM, 3D Face Recognition, Features extraction, FRGC, classification methods, CCNN, KNN., Symmetry Profile

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