Gaussian curvature-based geometric invariance for ear recognition

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dc.contributor.authorTaertulakarn, S.
dc.contributor.authorTosranon, P.
dc.contributor.authorPintavirooj, C.
dc.date.accessioned2026-08-06T10:09:29Z
dc.date.available2026-08-06T10:09:29Z
dc.date.issued2014-01-20
dc.description.abstractEar recognition is one of the new patterns of biometrics. In this paper we derive a novel geometric invariance on ear surfaces that it is preserved under affine and weak perspective transformations. Our 3D shape features are based on the Gaussian curvature and Mean curvature. When a surface undergoes an affine transformation, the shape features are the affine transformed shape features of the original surface; they are preserved and hence can be for shape matching. We have tested robustness of the shape feature on the 3D ear data for various linear geometric transformations. The experiment results show that our purposed shape feature is suitable for further application to 3D ear identification because its robustness to geometric transformation.
dc.identifier.citationBmeicon 2014 7th Biomedical Engineering International Conference, 2014
dc.identifier.doi10.1109/BMEiCON.2014.7017396
dc.identifier.other2-s2.0-84922970380
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/5681
dc.sourceBmeicon 2014 7th Biomedical Engineering International Conference
dc.subjectEar recognition
dc.subjectGaussian Curvature
dc.subjectGeometric Invariant
dc.titleGaussian curvature-based geometric invariance for ear recognition
dc.typeConference Paper

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