Efficient Hybrid Descriptor for Face Verification in the Wild Using the Deep Learning Approach-Reference-Cited by-同舟云学术

Efficient Hybrid Descriptor for Face Verification in the Wild Using the Deep Learning Approach

Published:2019-07 Issue:3 Volume:28 Page:151-164
ISSN:1060-992X
Container-title:Optical Memory and Neural Networks
language:en
Short-container-title:Opt. Mem. Neural Networks

Author:

Bilel Ameur ,Belahcene Mebarka,Masmoudi Sabeur,Ben Hamida Ahmed

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/content/pdf/10.3103/S1060992X19030020.pdf

Reference45 articles.

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2. Guillaumin, M., Verbeek, J., and Schmid, C., Is that you? Metric learning approaches for face identification, International Conference on Computer Vision (ICCV), 2009.

3. Wolf, L., Hassner, T., and Taigman, Y., Similarity scores based on background samples, Asian Conference on Computer Vision (ACCV), 2009.

4. Pinto, N. and Cox, D., Beyond simple features: A large-scale feature search approach to unconstrained face recognition, International Conference on Automatic Face and Gesture Recognition (FG), 2011.

5. Ameur, B., Masmoudi, S., Derbel, A.G., and Hamida, A.B., Fusing Gabor and LBP feature sets for KNN and SRC-based face recognition, IEEE 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2016, pp. 453–458.

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