File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A face recognition embedded system

TitleA face recognition embedded system
Authors
KeywordsEmbedded Devices
Face Recognition
Fixed-Point Arithmetic
Optimization
Issue Date2005
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 2005, v. 5779, p. 390-397 How to Cite?
AbstractThis paper presents an experimental study of the implementation of a face recognition system in embedded systems. To investigate the feasibility and practicality of real time face recognition on such systems, a door access control system based on face recognition is built. Due to the limited computation power of embedded device, a semi-automatic scheme for face detection and eye location is proposed to solve these computationally hard problems. It is found that to achieve real time performance, optimization of the core face recognition module is needed. As a result, extensive profiling is done to pinpoint the execution hotspots in the system and optimization are carried out. After careful precision analysis, all slow floating point calculations are replaced with their fixed-point versions. Experimental results show that real time performance can be achieved without significant loss in recognition accuracy.
Persistent Identifierhttp://hdl.handle.net/10722/151872
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorPun, KHen_US
dc.contributor.authorMoon, YSen_US
dc.contributor.authorTsang, CCen_US
dc.contributor.authorChow, CTen_US
dc.contributor.authorChan, SMen_US
dc.date.accessioned2012-06-26T06:30:16Z-
dc.date.available2012-06-26T06:30:16Z-
dc.date.issued2005en_US
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 2005, v. 5779, p. 390-397en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/151872-
dc.description.abstractThis paper presents an experimental study of the implementation of a face recognition system in embedded systems. To investigate the feasibility and practicality of real time face recognition on such systems, a door access control system based on face recognition is built. Due to the limited computation power of embedded device, a semi-automatic scheme for face detection and eye location is proposed to solve these computationally hard problems. It is found that to achieve real time performance, optimization of the core face recognition module is needed. As a result, extensive profiling is done to pinpoint the execution hotspots in the system and optimization are carried out. After careful precision analysis, all slow floating point calculations are replaced with their fixed-point versions. Experimental results show that real time performance can be achieved without significant loss in recognition accuracy.en_US
dc.languageengen_US
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_US
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.subjectEmbedded Devicesen_US
dc.subjectFace Recognitionen_US
dc.subjectFixed-Point Arithmeticen_US
dc.subjectOptimizationen_US
dc.titleA face recognition embedded systemen_US
dc.typeConference_Paperen_US
dc.identifier.emailPun, KH:pun@cs.hku.hken_US
dc.identifier.authorityPun, KH=rp00164en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1117/12.603566en_US
dc.identifier.scopuseid_2-s2.0-26444599002en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-26444599002&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume5779en_US
dc.identifier.spage390en_US
dc.identifier.epage397en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridPun, KH=8979404900en_US
dc.identifier.scopusauthoridMoon, YS=7203054992en_US
dc.identifier.scopusauthoridTsang, CC=24438582600en_US
dc.identifier.scopusauthoridChow, CT=15833935800en_US
dc.identifier.scopusauthoridChan, SM=15041559500en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats