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Sensors 2016, 16(4), 568; doi:10.3390/s16040568

Reconstructing Face Image from the Thermal Infrared Spectrum to the Visible Spectrum

1
Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan
2
Information Strategy Office, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan
3
Faculty of Economics and Information, Gifu Shotoku Gakuen University, 1-38 Naka-Uzura, Gifu 501-6122, Japan
4
School of Engineering, Chukyo University, 101 Tokodachi, Kaizu-cho, Toyota 470-0393, Japan
This paper is an extended version of our paper published in Proceedings of 2nd IAPR Asian Conference on Pattern Recognition (ACPR), Okinawa, Japan, 5–8 November 2013; pp. 435–439.
*
Author to whom correspondence should be addressed.
Academic Editors: Vincenzo Spagnolo and Dragan Indjin
Received: 29 February 2016 / Revised: 7 April 2016 / Accepted: 17 April 2016 / Published: 21 April 2016
(This article belongs to the Special Issue Infrared and THz Sensing and Imaging)
View Full-Text   |   Download PDF [2248 KB, uploaded 21 April 2016]   |  

Abstract

During the night or in poorly lit areas, thermal cameras are a better choice instead of normal cameras for security surveillance because they do not rely on illumination. A thermal camera is able to detect a person within its view, but identification from only thermal information is not an easy task. The purpose of this paper is to reconstruct the face image of a person from the thermal spectrum to the visible spectrum. After the reconstruction, further image processing can be employed, including identification/recognition. Concretely, we propose a two-step thermal-to-visible-spectrum reconstruction method based on Canonical Correlation Analysis (CCA). The reconstruction is done by utilizing the relationship between images in both thermal infrared and visible spectra obtained by CCA. The whole image is processed in the first step while the second step processes patches in an image. Results show that the proposed method gives satisfying results with the two-step approach and outperforms comparative methods in both quality and recognition evaluations. View Full-Text
Keywords: face image; thermal infrared; reconstruction; canonical correlation analysis face image; thermal infrared; reconstruction; canonical correlation analysis
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kresnaraman, B.; Deguchi, D.; Takahashi, T.; Mekada, Y.; Ide, I.; Murase, H. Reconstructing Face Image from the Thermal Infrared Spectrum to the Visible Spectrum. Sensors 2016, 16, 568.

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