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A Riemannian analysis of 3D nose shapes for partial human biometrics

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4 Author(s)
Drira, H. ; LIFL, Univ. de Lille 1, Lille, France ; Ben Amor, B. ; Srivastava, A. ; Daoudi, M.

In this paper we explore the use of shapes of noses for performing partial human biometrics. The basic idea is to represent nasal surfaces using indexed collections of iso-curves, and to analyze shapes of noses by comparing their corresponding curves. We extend past work in Riemannian analysis of shapes of closed curves in R3 to obtain a similar Riemannian analysis for nasal surfaces. In particular, we obtain algorithms for computing geodesics, computing statistical means, and stochastic clustering. We demonstrate these ideas in two application contexts : authentication and identification. We evaluate performances on a large database involving 2000 scans from FRGC v2 database, and present a hierarchical organization of nose databases to allow for efficient searches.

Published in:

Computer Vision, 2009 IEEE 12th International Conference on

Date of Conference:

Sept. 29 2009-Oct. 2 2009

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