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

Drira, Hassen; Ben Amor, Boulbaba; Anuj, Srivastava; Mohamed, Daoudi

Document type :

Communication dans un congrès avec actes

Title :

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

Author(s) :

Drira, Hassen [Auteur]

FOX MIIRE [LIFL]
Institut TELECOM/TELECOM Lille1
Ben Amor, Boulbaba [Auteur]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Anuj, Srivastava [Auteur]
Department of Statistics [Tallahassee, FL]
Mohamed, Daoudi [Auteur]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]

Conference title :

International Conference on Computer Vision

Country :

Japon

Start date of the conference :

2009-09-29

Book title :

Proceeding of ICCV

Publication date :

2009-09-03

HAL domain(s) :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

English abstract : [en]

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 isocurves, and to analyze shapes of noses by comparing ...
Show more >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 isocurves, 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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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