Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Scene based non-uniformity correction in thermal images using Kalman filter
Image and Vision Computing
Study on new structure uncooled a-Si microbolometer for infrared detection
Microelectronics Journal
Nonuniformity correction of infrared image sequences using the constant-statistics constraint
IEEE Transactions on Image Processing
Face Recognition with LWIR Imagery Using Local Binary Patterns
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
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In this paper, the face recognitions rate performance using infrared imagery is improved by adding nonuniformity pre-processing techniques. The infrared spectra contains the heat energy emitted by a face and it naturally present an insensitive behavior to variations in illuminations. Infrared imaging system can be formed by a Focal-Plane-Array technology, a group of photodetectors located in the focal plane of an imaging systems, but inherently present the nonuniformity as fixed-pattern noise that degrades the quality of infrared images. Additionally, this nonuniformity slowly varies over time, and depending on the technology used, this drift can take from minutes to hours. Due to this, the face identification performance is degraded over time, requiring a continuous-time calibrations method in order to maintain the face recognition rate using infrared imaging system. In synthesis, this work focuses on the evaluation of the degradation in pattern recognition performance produced by the fixed-pattern noise and the improvement when nonuniformity correction techniques is applied.