DocumentCode :
2306162
Title :
3D Face Recognition
Author :
Dutagaci, Helin ; Sankur, Bülent ; Yemez, Yücel
Author_Institution :
Elektrik-Elektron. Muhendisligi Bolumu, Bogazici Univ., Istanbul
fYear :
2006
fDate :
17-19 April 2006
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we compare face recognition performances of various features applied on registered 3D scans of faces. The features we compare are DFT or DCT-based features, ICA-based features and NNMF-based features. We apply the feature extraction techniques to three different representations of registered faces: 3D point clouds, 2D depth images and 3D voxel representations. We also consider block-based DFT or DCT-based local features on 2D depth images and their fusion schemes. Experiments using different combinations of representation types and feature vectors are conducted on the 3D-RMA dataset
Keywords :
discrete Fourier transforms; discrete cosine transforms; face recognition; feature extraction; image registration; image representation; 3D face recognition; 3D-RMA dataset; DCT; block-based DFT; discrete Fourier transform; discrete cosine transform; feature extraction technique; registered face representation; Clouds; Discrete Fourier transforms; Face recognition; Feature extraction; Gaussian processes; Influenza;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications, 2006 IEEE 14th
Conference_Location :
Antalya
Print_ISBN :
1-4244-0238-7
Type :
conf
DOI :
10.1109/SIU.2006.1659828
Filename :
1659828
Link To Document :
بازگشت