High-dimensional feature extraction using bit-plane decomposition of local binary patterns for robust face recognition-Reference-Cited by-同舟云学术

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High-dimensional feature extraction using bit-plane decomposition of local binary patterns for robust face recognition

Published:2017-05 Issue: Volume:45 Page:11-19
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Yoo Cheol-Hwan,Kim Seung-Wook,Jung June-Young,Ko Sung-Jea

Funder

Institute for Information & communications Technology Promotion

Korea government

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference33 articles.

1. M. Turk, A. Pentland, Face recognition using eigenfaces, in: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 1991, pp. 586–591.

2. Eigenfaces vs. fisherfaces: recognition using class specific linear projection;Belhumeur;IEEE Trans. Pattern Anal. Mach. Intell.,1997

3. Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval;Hong;IEEE Trans. Ind. Electron.,2015

4. Hypergraph-based multi-example ranking with sparse representation for transductive learning image retrieval;Hong;Neurocomputing,2013

5. Random projection-based partial feature extraction for robust face recognition;Ma;Neurocomputing,2015

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