NDLI: 3D Face Recognition

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Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, 2005.

Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, 2004.

3D Face Recognition

Content Provider	IEEE Xplore Digital Library
Author	Dutagaci, H. Sankur, B. Yemez, Y.
Copyright Year	2006
Description	Author affiliation: Elektrik-Elektron. Muhendisligi Bolumu, Bogazici Univ., Istanbul (Dutagaci, H.; Sankur, B.)
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
Starting Page	1
Ending Page	4
File Size	4158656
Page Count	4
File Format	PDF
ISBN	1424402387
DOI	10.1109/SIU.2006.1659828
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-17
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Clouds Discrete Fourier transforms Influenza Gaussian processes Feature extraction
Content Type	Text
Resource Type	Article

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