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A Review of Face Recognition Techniques for In-Camera Applications

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dc.contributor.author Iancu, Claudia en
dc.contributor.author Costache, Gabriel en
dc.contributor.author Corcoran, Peter M. en
dc.date.accessioned 2010-10-14T11:07:49Z en
dc.date.available 2010-10-14T11:07:49Z en
dc.date.issued 2007-08-20 en
dc.identifier.citation Iancu, C., Corcoran, P., & Costache, G. (2007). A Review of Face Recognition Techniques for In-Camera Applications. Paper presented at the Signals, Circuits and Systems, 2007. ISSCS 2007. en
dc.identifier.isbn 1-4244-0969-1 en
dc.identifier.uri http://hdl.handle.net/10379/1344 en
dc.description.abstract This paper presents an overview of a number of classical face recognition techniques, including an assessment of their suitability for applications in real-time embedded systems such as digital cameras, and a generalized discussion of the training requirements for different face recognition techniques. Also, an introduction to face recognition approaches based on hidden Markov models (HMM) is made, and their advantages and benefits are shown, particularly their ability to provide acceptable levels of accurate recognition for unseen collections of facial images. Finally, a detailed description/implementation of a working HMM test bed is done, together with a presentation of some preliminary results. en
dc.format application/pdf en
dc.publisher IEEE en
dc.subject Cameras en
dc.subject Face recognition en
dc.subject Hidden Markov models en
dc.subject Electrical and Electronic Engineering en
dc.title A Review of Face Recognition Techniques for In-Camera Applications en
dc.type Conference Paper en
dc.local.publishedsource http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4292641 en
dc.description.peer-reviewed peer-reviewed en

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