Show simple item record

dc.contributor.authorElmahmudi, Ali A.M.*
dc.contributor.authorUgail, Hassan*
dc.date.accessioned2019-03-01T15:11:51Z
dc.date.available2019-03-01T15:11:51Z
dc.date.issued2018
dc.identifier.citationElmahmudi AAM and Ugail H (2018) Experiments on deep face recognition using partial faces. In: 2018 International Conference on Cyberworlds (CW). 3-5 Oct 2018, Singapore. 357-362.en_US
dc.identifier.urihttp://hdl.handle.net/10454/16872
dc.descriptionYesen_US
dc.description.abstractFace recognition is a very current subject of great interest in the area of visual computing. In the past, numerous face recognition and authentication approaches have been proposed, though the great majority of them use full frontal faces both for training machine learning algorithms and for measuring the recognition rates. In this paper, we discuss some novel experiments to test the performance of machine learning, especially the performance of deep learning, using partial faces as training and recognition cues. Thus, this study sharply differs from the common approaches of using the full face for recognition tasks. In particular, we study the rate of recognition subject to the various parts of the face such as the eyes, mouth, nose and the forehead. In this study, we use a convolutional neural network based architecture along with the pre-trained VGG-Face model to extract features for training. We then use two classifiers namely the cosine similarity and the linear support vector machine to test the recognition rates. We ran our experiments on the Brazilian FEI dataset consisting of 200 subjects. Our results show that the cheek of the face has the lowest recognition rate with 15% while the (top, bottom and right) half and the 3/4 of the face have near 100% recognition rates.en_US
dc.description.sponsorshipSupported in part by the European Union's Horizon 2020 Programme H2020-MSCA-RISE-2017, under the project PDE-GIR with grant number 778035.en_US
dc.language.isoenen_US
dc.rights© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectFace recognitionen_US
dc.subjectPartial faceen_US
dc.subjectDeep learningen_US
dc.subjectCosine similarityen_US
dc.subjectSupport vector machineen_US
dc.subjectFeature extractionen_US
dc.subjectMachine learningen_US
dc.titleExperiments on deep face recognition using partial facesen_US
dc.status.refereedYesen_US
dc.date.Accepted2018
dc.date.application2018
dc.typeConference paperen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1109/CW.2018.00071
refterms.dateFOA2019-03-04T09:58:16Z


Item file(s)

Thumbnail
Name:
Ugail_CW_2.pdf
Size:
991.3Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record