Face Recognition via Thermal Imaging: A Comparative Study of Traditional and CNN-Based Approaches-Reference-Cited by-同舟云学术

Face Recognition via Thermal Imaging: A Comparative Study of Traditional and CNN-Based Approaches

Published:2024-01-26 Issue: Volume:8 Page:132-138
ISSN:
Container-title:2024 The 8th International Conference on Machine Learning and Soft Computing
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Author:

Lin Shinfeng¹^ORCID,Chen Luming¹^ORCID,Chen Wensheng¹^ORCID,Chang Boyu¹^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647750.3647771

Reference24 articles.

1. Combining Speeded Up Robust Features with Principal Component Analysis in Face Recognition System;Lin Shinfeng D.;International Journal of Innovative Computing, Information and Control,2012

2. Face recognition: the problem of compensating for changes in illumination direction

3. Marcin Kopaczka, Raphael Kolk, and Dorit Merhof, 2018, A fully annotated thermal face database and its application for thermal facial expression recognition, IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp 1-6.

4. Miloš Pavlović, Branka Stojanović, Ranko Petrović, and Srđan Stanković, 2018, Fusion of Visual and Thermal Imagery for Illumination Invariant Face Recognition System, 14th Symposium on Neural Networks and Applications (NEUREL), pp. 1-5.

5. Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada, and Xavier Maldague, 2013, illumination invariant face recognition from a single image across extreme pose using a dual dimension AAM ensemble in the thermal infrared spectrum, The International Joint Conference on Neural Networks (IJCNN), pp. 1-10.