Heterogeneous Face Recognition Using Kernel Prototype Similarities

Heterogeneous face recognition (HFR) involves matching two face images from alternate imaging modalities, such as an infrared image to a photograph or a sketch to a photograph. Accurate HFR systems are of great value in various applications (e.g., forensics and surveillance), where the gallery datab...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 35; H. 6; S. 1410 - 1422
Hauptverfasser:	Klare, Brendan F., Jain, Anil K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Los Alamitos, CA IEEE 01.06.2013 IEEE Computer Society
Schlagworte:	Applied sciences Artificial intelligence Biometric Identification - methods Computer science; control theory; systems Data processing. List processing. Character string processing discriminant analysis Exact sciences and technology Face Face recognition forensic sketch Forensics Heterogeneous face recognition Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods infrared image Kernel local descriptors Mathematics Memory organisation. Data processing nonlinear similarity Pattern recognition. Digital image processing. Computational geometry Probability and statistics Probes Prototypes random subspaces Sampling theory, sample surveys Sciences and techniques of general use Software Statistics thermal image Training Prototype Random sampling Similarity Sample size Image processing prototypes local descriptors Vector space Image matching Near infrared spectrum Imaging Facies forensic sketch random subspaces Database Monitoring Infrared thermography Computer vision Discriminant analysis Probabilistic approach Forensic science Face recognition Image retrieval infrared image Computational geometry Surveillance thermal image Heterogeneous face recognition Thermal imaging nonlinear similarity
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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