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14 August 2018 Face re-identification across pose in thermal infrared spectrum based on local texture descriptors
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Proceedings Volume 10830, 13th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods; 1083005 (2018) https://doi.org/10.1117/12.2501359
Event: Thirteenth Integrated Optics: Sensors, Sensing Structures and Methods Conference, 2018, Szcyrk, Poland
Abstract
Face re-identification is a challenging task which is aimed to check similarity of two faces shown in the images. Face recognition system have been investigated since many years mostly in visible domain. We investigate face recognition methods based on facial images acquired in far-infrared range (thermal spectrum). The main reason for using thermal infrared for face recognition is to observe people in night conditions. However, this task is not free of challenges. In this paper we investigate the impact of various head positions on efficiency of face re-identification. The paper presents our measurement approach, results of many series of tests as well as performance metrics of re-identification based on three state-of-the-art facial descriptors.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Grudzien, M. Kowalski, and N. Palka "Face re-identification across pose in thermal infrared spectrum based on local texture descriptors", Proc. SPIE 10830, 13th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 1083005 (14 August 2018); https://doi.org/10.1117/12.2501359
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