Abstract
A primal approach to the analysis of a human face through its 3-D image is proposed. This analysis is based on local pattern concepts deduced from the intrinsic properties of a surface described by its local curvature characteristics. Some theoretical results about curvature are recalled and then used for the extraction of characteristic geometrical features from the face surface. Recognition can be achieved by using a pattern vector of distances calculated from these features. Experimental results are provided to illustrate the various steps of the approach.
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© 1988 Springer-Verlag Berlin Heidelberg
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Lapresté, J.T., Cartoux, J.Y., Richetin, M. (1988). Face Recognition From Range Data by Structural Analysis. In: Ferraté, G., Pavlidis, T., Sanfeliu, A., Bunke, H. (eds) Syntactic and Structural Pattern Recognition. NATO ASI Series, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83462-2_19
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DOI: https://doi.org/10.1007/978-3-642-83462-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-83464-6
Online ISBN: 978-3-642-83462-2
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