Hybrid Approach for Face Recognition from a Single Sample per Person by Combining VLC and GOM
نویسندگان
چکیده
منابع مشابه
Face Recognition from One Sample per Person
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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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...
متن کاملLow-resolution face recognition with single sample per person
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...
متن کاملFace recognition from a single image per person: A survey
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 ...
متن کاملFace Recognition From Single Sample Per Person by Learning of Generic Discriminant Vectors
The conventional ways of recognizing faces always assume the possession and heavily relies on extensive and representative datasets, but that is not the case in most real-world situations where more often than not, a very limited or even only single sample per person (SSPP) is available which ultimately rendering most face recognition systems to fail severely. This paper proposes a development ...
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ژورنال
عنوان ژورنال: Journal of Intelligent Systems
سال: 2019
ISSN: 2191-026X,0334-1860
DOI: 10.1515/jisys-2018-0380