Cortical 3D Face Recognition Framework

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dc.contributor.authorRodrigues, J.en_US
dc.contributor.authorLam, R.en_US
dc.contributor.authorBuf, J. duen_US
dc.contributor.editorSilva, F. and Gutierrez, D. and Rodríguez, J. and Figueiredo, M.en_US
dc.date.accessioned2021-06-18T07:47:44Z
dc.date.available2021-06-18T07:47:44Z
dc.date.issued2021
dc.description.abstractEmpirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. In cortical area V1 exist double-opponent colour blobs, also simple, complex and end-stopped cells which provide input for a multiscale line/edge representation, keypoints for dynamic routing and saliency maps for Focus-of-Attention. All these combined allow us to segregate faces. Events of different facial views are stored in memory and combined in order to identify the view and recognise the face including facial expression. In this paper we show that with five 2D views and their cortical representations it is possible to determine the left-right and frontal-lateral-profile views and to achieve view-invariant recognition of 3D faces.en_US
dc.description.sectionheadersLights Fields and Image Processing
dc.description.seriesinformationV Ibero-American Symposium in Computer Graphics
dc.identifier.doi10.2312/pt.20111133
dc.identifier.isbn978-3-03868-152-6
dc.identifier.pages81-87
dc.identifier.urihttps://doi.org/10.2312/pt.20111133
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pt20111133
dc.publisherThe Eurographics Associationen_US
dc.subjectI.5.5 [Pattern Recognition]
dc.subjectImplementation
dc.subjectSpecial architectures
dc.titleCortical 3D Face Recognition Frameworken_US
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