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A spectral independent approach for physiological and geometric based face recognition in the visible, middle-wave and long-wave infrared bands

  • Published:2014-11 Issue:11 Volume:32 Page:847-859
  • ISSN:0262-8856
  • Container-title:Image and Vision Computing
  • language:en
  • Short-container-title:Image and Vision Computing

Author:

Osia N.,Bourlai T.

Funder

Office of Naval Research (ONR)

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference39 articles.

1. SURF: speeded up robust features;Bay;Comput. Vis. Image Underst. (CVIU),2008

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

3. The CSU face identification evaluation system: its purpose, features and structure;Bolme;Proc. Int. Conf. Vis. Syst.,2003

4. Eye detection in the middle-wave infrared spectrum: towards recognition in the dark;Bourlai;IEEE Intl. Work. Inf. Forensic Secur. (WIFS),2011

5. A study on using middle-wave infrared images for face recognition;Bourlai,2012

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1. Utilizing Alignment Loss to Advance Eye Center Detection and Face Recognition in the LWIR Band;IEEE Transactions on Biometrics, Behavior, and Identity Science;2023-04

2. Data and Algorithms for End-to-End Thermal Spectrum Face Verification;IEEE Transactions on Biometrics, Behavior, and Identity Science;2023

3. Exploring Deep Learning Ear Recognition in Thermal Images;IEEE Transactions on Biometrics, Behavior, and Identity Science;2023-01

4. Types of Infrareds Focusing on Face Recognition: Promises, Advances and Challenges;2022 International Telecommunications Conference (ITC-Egypt);2022-07-26

5. Scale fusion light CNN for hyperspectral face recognition with knowledge distillation and attention mechanism;Applied Intelligence;2021-09-03
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