Super-resolution for high magnification face images

Yi Yao; Besma Abidi; Nathan D. Kalka; Natalia Schmid; Mongi Abidi

doi:10.1117/12.720113

12 April 2007 Super-resolution for high magnification face images

Yi Yao, Besma Abidi, Nathan D. Kalka, Natalia Schmid, Mongi Abidi

Proceedings Volume 6539, Biometric Technology for Human Identification IV; 65390G (2007) https://doi.org/10.1117/12.720113
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Most existing face recognition algorithms require face images with a minimum resolution. Meanwhile, the rapidly emerging need for near-ground long range surveillance calls for a migration in face recognition from close-up distances to long distances and accordingly from low and constant resolution to high and adjustable resolution. With limited optical zoom capability restricted by the system hardware configuration, super-resolution (SR) provides a promising solution with no additional hardware requirements. In this paper, a brief review of existing SR algorithms is conducted and their capability of improving face recognition rates (FRR) for long range face images is studied. Algorithms applicable to real-time scenarios are implemented and their performances in terms of FRR are examined using the IRISLRHM face database [1]. Our experimental results show that SR followed by appropriate enhancement, such as wavelet based processing, is able to achieve comparable FRR when equivalent optical zoom is employed.

Citation Download Citation

Yi Yao, Besma Abidi, Nathan D. Kalka, Natalia Schmid, and Mongi Abidi "Super-resolution for high magnification face images", Proc. SPIE 6539, Biometric Technology for Human Identification IV, 65390G (12 April 2007); https://doi.org/10.1117/12.720113

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