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3D face recognition in the presence of 3D model degradations

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dc.contributor.authorLemaire, Pierre
dc.contributor.authorHuang, Di
dc.contributor.authorColineau, Joseph
dc.contributor.authorArdabilian, Mohsen
dc.contributor.authorChen, Liming
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-11-27T09:53:29Z
dc.date.available2018-11-27T09:53:29Z
dc.date.issued2011
dc.description.abstractThe problem of 3D face recognition has received a growing interest in the past decades. While proposed approaches have proven their efficiency over renowned databases as FRGC, little work has been conducted on the robustness of such algorithm to the quality of 3D models. In this work, we present a study of the robustness of our 3D face recognition algorithm, namely MS-ELBP+SIFT, to face model degradations. Those degradations include Gaussian noise, decimation, and holes. Degradations are generated on a subset of the FRGC database, hence enabling us to compare the robustness of our approach to them. Results are provided through a comparative study with the baseline ICP method.en
dc.identifier.isbn978-3-88579-285-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/18543
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2011 – Proceedings of the Biometrics Special Interest Group
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-191
dc.title3D face recognition in the presence of 3D model degradationsen
dc.typeText/Conference Paper
gi.citation.endPage218
gi.citation.publisherPlaceBonn
gi.citation.startPage211
gi.conference.date08.-09. September 2011
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

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P191 - BIOSIG 2011 - Proceedings of the 10th International Conference of the Biometrics Special Interest Group