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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

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





Autor: Brahmastro Kresnaraman 1,* , Daisuke Deguchi 2, Tomokazu Takahashi 3, Yoshito Mekada 4, Ichiro Ide 1 and Hiroshi Murase 1

Fuente: http://mdpi.com/



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