Face Recognition and Semantic Features
نویسندگان
چکیده
The.authors.present.a.face.recognition.scheme.based.on.semantic.features’.extraction.from.faces.and. tensor.subspace.analysis..These.semantic.features.consist.of.eyes.and.mouth,.plus.the.region.outlined.by. three.weight.centres.of.the.edges.of.these.features..The.extracted.features.are.compared.over.images.in. tensor.subspace.domain..Singular.value.decomposition.is.used.to.solve.the.eigenvalue.problem.and.to. project.the.geometrical.properties.to.the.face.manifold..They.compare.the.performance.of.the.proposed. scheme.with.that.of.other.established.techniques,.where.the.results.demonstrate.the.superiority.of.the. proposed.method.
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