A Comprehensive Database for Benchmarking Imaging Systems

Cross-modality face recognition is an emerging topic due to the wide-spread usage of different sensors in day-to-day life applications. The development of face recognition systems relies greatly on existing databases for evaluation and obtaining training examples for data-hungry machine learning alg...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 42; H. 3; S. 509 - 520
Hauptverfasser:	Panetta, Karen, Wan, Qianwen, Agaian, Sos, Rajeev, Srijith, Kamath, Shreyas, Rajendran, Rahul, Rao, Shishir Paramathma, Kaszowska, Aleksandra, Taylor, Holly A., Samani, Arash, Yuan, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adolescent Adult Aged Algorithms Automated Facial Recognition - methods Benchmarking Cameras Child Child, Preschool Colleges & universities computerized face sketches cross-modality Databases, Factual Face Face - anatomy & histology Face - diagnostic imaging Face recognition Female Humans Image acquisition Image Processing, Computer-Assisted - methods Image recognition Imaging, Three-Dimensional Infrared imagery Infrared photography Machine learning Male Middle Aged near infrared The tufts face database thermal Three-dimensional displays Young Adult
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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