Real-Time Multiple Face Detection Using Active Illumination
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face Recognition in Hyperspectral Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Illumination Invariant Face Recognition Using Near-Infrared Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Heterogeneous Face Recognition from Local Structures of Normalized Appearance
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Overview of the Multiple Biometrics Grand Challenge
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A robust method for near infrared face recognition based on extended local binary pattern
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Directional binary code with application to PolyU near-infrared face database
Pattern Recognition Letters
Heterogeneous Face Recognition: Matching NIR to Visible Light Images
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Face Recognition at-a-Distance Using Texture, Dense- and Sparse-Stereo Reconstruction
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
An automatic face recognition system in the near infrared spectrum
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Face recognition from visible and near-infrared images using boosted directional binary code
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
NFRAD: Near-Infrared Face Recognition at a Distance
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
Face matching between near infrared and visible light images
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Improved face recognition at a distance using light field camera & super resolution schemes
Proceedings of the 6th International Conference on Security of Information and Networks
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Automatic face recognition capability in surveillance systems is important for security applications. However, few studies have addressed the problem of outdoor face recognition at a long distance (over 100 meters) in both daytime and nighttime environments. In this paper, we first report on a system that we have designed to collect face image database at a long distance, called the Long Distance Heterogeneous Face Database (LDHF-DB) to advance research on this topic. The LDHF-DB contains face images collected in an outdoor environment at distances of 60 meters, 100 meters, and 150 meters, with both visible light (VIS) face images captured in daytime and near infrared (NIR) face images captured in nighttime. Given this database, we have conducted two types of cross-distance face matching (matching long-distance probe to 1-meter gallery) experiments: (i) intra-spectral (VIS to VIS) face matching, and (ii) cross-spectral (NIR to VIS) face matching. The proposed face recognition algorithm consists of following three major steps: (i) Gaussian filtering to remove high frequency noise, (ii) Scale Invariant Feature Transform (SIFT) in local image regions for feature representation, and (iii) a random subspace method to build discriminant subspaces for face recognition. Experimental results show that the proposed face recognition algorithm outperforms two commercial state-of-the-art face recognition SDKs (FaceVACS and PittPatt) for long distance face recognition in both daytime and nighttime operations. These results highlight the need for better data capture setup and robust face matching algorithms for cross spectral matching at distances greater than 100 meters.