Towards 3-dimensional face recognition

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dc.contributor.authorEriksson Anders
dc.contributor.authorWeber David
dc.date.accessioned2011-05-15T15:53:39Z
dc.date.available2011-05-15T15:53:39Z
dc.date.issued1999
dc.description.abstractThis paper describes a system for recognizing human faces from a stereo image pair out of a large database with one image pair per person. The faces are stored as image meshes which contain the position and disparity for 40 feature points extracted from the image pair. Texture information, described by the outputs of a set of Gabor wavelets is stored for each feature point. The Gabor wavelets are also used in the disparity estimation process to resolve a 3-D representation of the face. The recognition is conducted by examining how well the stored meshes can be projected onto the image pair to be tested, using camera calibration data. This is important as recognition is independent of pose, camera geometry, distance from camera and lighting conditions.
dc.description.versionArticle
dc.identifier.citationIEEE AFRICON Conference
dc.identifier.citation1
dc.identifier.urihttp://hdl.handle.net/10019.1/8731
dc.titleTowards 3-dimensional face recognition
dc.typeArticle
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