Abstract: Biometric recognition of newborn babies is an opportunity for the realization of several useful applications, such as improved security against swapping and abduction, accurate census, and effective drug delivery.
Mar 11, 2016
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9, the proposed two-stage learning framework for newborn face recognition first learns a domain- specific representation of the face with variable expressions.
This paper explores the possibility of using face recognition toward an affordable and friendly biometric modality for newborns. The paper proposes an ...
An autoencoder-based feature representation followed by problem specific distance metric learning via one-shot similarity with one class-online support ...
INTRODUCTION. Automatic recognition of new borns is one of the challenging problems with various applications. Because, face of new.
On the modularity of face recognition: the riddle of domain specificity
pubmed.ncbi.nlm.nih.gov › ...
The present paper focuses on the modular attributes of face recognition, defined in terms of domain specificity. Domain specificity is examined by looking ...
Missing: Newborn | Show results with:Newborn
According to this model, the domain-specific mechanism supporting face detection allow newborns to orient to faces and, at the same time, biases the ...
Duration: 8:23
Posted: Jul 24, 2017
Posted: Jul 24, 2017
Domain Specific Learning for Newborn Face ... - MTech Projects
www.mtechprojects.com › 75919-domai...
May 15, 2017 · The paper proposes an autoencoder-based mostly feature representation followed by downside specific distance metric learning via one-shot ...
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This paper explores the possibility of using face recognition toward an affordable and friendly biometric modality for newborns. The paper proposes an ...