Publication

A Review of Face Recognition Techniques for In-Camera Applications

Iancu, Claudia
; 
Costache, Gabriel
; 
Corcoran, Peter M.
Thumbnail Image
Files
Thumbnail Image
A Review of Face Recognition Techniques for In-Camera Applications.pdf
Adobe PDF, 461.77 KB
Repository DOI
Publication Date
2007-08-20
Keywords
Cameras, Face recognition, Hidden Markov models, Electrical and Electronic Engineering
Type
Conference Paper
Downloads
Show all metadata
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.
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.
Funder
Publisher
IEEE
Publisher DOI
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland
cbn
Collections
Electrical and Electronic Engineering (Conference Papers)