Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification

Making a high-dimensional (e.g., 100K-dim) feature for face recognition seems not a good idea because it will bring difficulties on consequent training, computation, and storage. This prevents further exploration of the use of a high dimensional feature. In this paper, we study the performance of a...

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Bibliographic Details

Published in:	2013 IEEE Conference on Computer Vision and Pattern Recognition pp. 3025 - 3032
Main Authors:	Dong Chen, Xudong Cao, Fang Wen, Jian Sun
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2013
Subjects:	Accuracy Face Face Recognition Feature extraction High-dimensional LBP Learning systems Principal component analysis Rotated Sparse Regression Sparse matrices Training
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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