Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person
نویسندگان
چکیده
منابع مشابه
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person
In video surveillance, face recognition (FR) systems are employed to detect individuals of interest appearing over a distributed network of cameras. The performance of still-tovideo FR systems can decline significantly because faces captured in the unconstrained operational domain (OD) over multiple video cameras have a different underlying data distribution compared to faces captured under con...
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As one of the most visible applications in computer vision communication, face recognition (FR) has become significant role in the community. In the past decade, researchers have been devoting themselves to addressing the various problems emerging in practical FR applications in uncontrolled or less controlled environment. In many practical applications of FR (e.g., law enforcement, e-passport,...
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As a growing number of low-resolution (LR) face images are captured by surveillance cameras, LR face recognition has been a hot issue for recent years. Previous efforts on LR face recognition typically assume each subject has multiple high-resolution (HR) training samples. However, this assumption may not hold in some special cases such as law-enforcement where only a single HR sample per perso...
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One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for collecting them, lower costs for storing and processing them. Unfortunately, many reported face recognition techniques rely heavily on the size and representative of training set, and most of them will suffer serious ...
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Discriminant analysis methods are powerful tools in face recognition. However, these methods are not applicable under the single sample per person scenario because the within-subject variability cannot be estimated in this case. In the generic learning solution, this variability is estimated using images of a generic training set, for which more than one sample per person is available. However,...
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ژورنال
عنوان ژورنال: IEEE Transactions on Information Forensics and Security
سال: 2019
ISSN: 1556-6013,1556-6021
DOI: 10.1109/tifs.2018.2866295