Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
High Definition Postproduction: Editing and Delivering HD Video
High Definition Postproduction: Editing and Delivering HD Video
Journal of Cognitive Neuroscience
Biometric authentication: a machine learning approach
Biometric authentication: a machine learning approach
Overview of the Multiple Biometrics Grand Challenge
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Digital Multimedia
Multiresolution face recognition
Image and Vision Computing
An image preprocessing algorithm for illumination invariant face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
The BANCA database and evaluation protocol
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Face recognition: face in video, age invariance, and facial marks
Face recognition: face in video, age invariance, and facial marks
Enhancing face recognition at a distance using super resolution
Proceedings of the on Multimedia and security
Hi-index | 0.00 |
Recognition of human faces from a distance is highly desirable for law-enforcement. This paper evaluates the use of low-cost, high-definition (HD) body worn video cameras for face recognition from a distance. A comparison of HD vs. Standard-definition (SD) video for face recognition from a distance is presented. HD and SD videos of 20 subjects were acquired in different conditions and at varying distances. The evaluation uses three benchmark algorithms: Eigenfaces, Fisherfaces and Wavelet Transforms. The study indicates when gallery and probe images consist of faces captured from a distance, HD video result in better recognition accuracy, compared to SD video. This scenario resembles real-life conditions of video surveillance and law-enforcement activities. However, at a close range, face data obtained from SD video result in similar, if not better recognition accuracy than using HD face data of the same range.