Results 271 to 280 of about 2,191,028 (317)
Autistic adults have insight into their relative face recognition ability. [PDF]
Sci RepGehdu BK, Press C, Gray KLH, Cook R.
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Automated face recognition assists with low-prevalence face identity mismatches but can bias users. [PDF]
Br J PsycholMueller M +5 more
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Viewpoint-independent face recognition via extrapolation in paper wasps.
J Exp BiolTibbetts EA +3 more
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Current Neurology and Neuroscience Reports, 2013
Functional imaging studies, intracranial recordings, and lesion-deficit correlations in neurological patients have produced unique insights into the cognitive mechanisms and neural substrates of face recognition. In this review, we highlight recent advances in the field and integrate data from these complementary lines of research to propose a ...
Tracey Ward +73 more
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Functional imaging studies, intracranial recordings, and lesion-deficit correlations in neurological patients have produced unique insights into the cognitive mechanisms and neural substrates of face recognition. In this review, we highlight recent advances in the field and integrate data from these complementary lines of research to propose a ...
Tracey Ward +73 more
+5 more sources
Current Opinion in Neurobiology, 1992
The study of face-selective neurons in the monkey temporal lobe, and face recognition deficits in humans after brain damage have both become very active fields of investigation. Face-selective neurons appear to be members of ensembles for coding faces rather than individual face detectors or grandmother cells.
C G, Gross, J, Sergent
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The study of face-selective neurons in the monkey temporal lobe, and face recognition deficits in humans after brain damage have both become very active fields of investigation. Face-selective neurons appear to be members of ensembles for coding faces rather than individual face detectors or grandmother cells.
C G, Gross, J, Sergent
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Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1992
Much early work in the psychology of face processing was hampered by a failure to think carefully about task demands. Recently our understanding of the processes involved in the recognition of familiar faces has been both encapsulated in, and guided by, functional models of the processes involved in processing and recognizing faces.
V, Bruce, A M, Burton, I, Craw
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Much early work in the psychology of face processing was hampered by a failure to think carefully about task demands. Recently our understanding of the processes involved in the recognition of familiar faces has been both encapsulated in, and guided by, functional models of the processes involved in processing and recognizing faces.
V, Bruce, A M, Burton, I, Craw
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Understanding face recognition
British Journal of Psychology, 1986The aim of this paper is to develop a theoretical model and a set of terms for understanding and discussing how we recognize familiar faces, and the relationship between recognition and other aspects of face processing. It is suggested that there are seven distinct types of information that we derive from seen faces; these are labelled pictorial ...
V, Bruce, A, Young
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2009
In the modern life, the need for personal security and access control is becoming an important issue. Biometrics is the technology which is expected to replace traditional authentication methods that are easily stolen, forgotten and duplicated. Fingerprints, face, iris, and voiceprints are commonly used biometric features.
Daijin Kim, Jaewon Sung
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In the modern life, the need for personal security and access control is becoming an important issue. Biometrics is the technology which is expected to replace traditional authentication methods that are easily stolen, forgotten and duplicated. Fingerprints, face, iris, and voiceprints are commonly used biometric features.
Daijin Kim, Jaewon Sung
+5 more sources
2016
Face recognition is a sophisticated problem requiring a significant commitment of computer resources. A modern GPU architecture provides a practical platform for performing face recognition in real time. The majority of the calculations of an eigenpicture implementation of face recognition are matrix multiplications.
Alexander Alling +2 more
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Face recognition is a sophisticated problem requiring a significant commitment of computer resources. A modern GPU architecture provides a practical platform for performing face recognition in real time. The majority of the calculations of an eigenpicture implementation of face recognition are matrix multiplications.
Alexander Alling +2 more
openaire +2 more sources
Cost-Sensitive Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008Most traditional face recognition systems attempt to achieve a low recognition error rate, implicitly assuming that the losses of all misclassifications are the same. In this paper, we argue that this is far from a reasonable setting because, in almost all application scenarios of face recognition, different kinds of mistakes will lead to different ...
Yin, Zhang, Zhi-Hua, Zhou
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