Paper Info
Title
Three Dimensional Face Recognition using Wavelet Decomposition of Range Images
Abstract
Interest in face recognition systems has increased signifi- cantly due to the emergence of significant commercial op- portunities in surveillance and security applications. In this paper we propose a novel technique to extract features from 3D face representations. In this technique, first the nose tip is automatically located on the range image, then the range data from a hexagonal region of interest around this landmark is decomposed using Barycentric wavelet kernels. The dimen- sionality of the extracted coefficients at each resolution l evel is reduced using principal component analysis (PCA). These new features are tested on 206 range images, and a high clas- sification accuracy is achieved using a small number of fea- tures. The obtained accuracy is competitive to that of other techniques in literature.
Year
DOI
Venue
2007
10.1109/ICIP.2007.4378912
Image Processing, 2007. ICIP 2007. IEEE International Conference
Keywords
Field
DocType
face recognition,feature extraction,image representation,image resolution,principal component analysis,surveillance,wavelet transforms,3D face representations,Barycentric wavelet kernels,features extraction,principal component analysis,range images,security applications,surveillance applications,three dimensional face recognition system,wavelet decomposition,3D face recognition,Biometry,Triangular B-spline wavelets
Facial recognition system,Computer vision,Three-dimensional face recognition,Pattern recognition,Computer science,Feature extraction,Artificial intelligence,Region of interest,Image resolution,Principal component analysis,Wavelet,Wavelet transform
Conference
Volume
ISSN
ISBN
1
1522-4880 E-ISBN : 978-1-4244-1437-6
978-1-4244-1437-6
Citations 
PageRank 
References 
4
0.43
7
Authors
4
Name
Order
Citations
PageRank
Sina Jahanbin1372.58
Hyohoon Choi2595.37
Alan C. Bovik33341274.64
Kenneth R. Castleman49112.80