3D face recognition based on the hierarchical score-level fusion classifiers

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU111938" target="_blank" >RIV/00216305:26230/14:PU111938 - isvavai.cz</a>

Result on the web

<a href="http://spie.org/Publications/Proceedings/Paper/10.1117/12.2050547" target="_blank" >http://spie.org/Publications/Proceedings/Paper/10.1117/12.2050547</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2050547" target="_blank" >10.1117/12.2050547</a>

Result language

angličtina

Original language name

3D face recognition based on the hierarchical score-level fusion classifiers

Original language description

This paper describes the 3D face recognition algorithm that is based on the hierarchical score-level fusion classifiers. In a simple (unimodal) biometric pipeline, the feature vector is extracted from the input data and subsequently compared with the template stored in the database. In our approach, we utilize several feature extraction algorithms. We use 6 different image representations of the input 3D face data. Moreover, we are using Gabor and Gauss-Laguerre filter banks applied on the input image data that yield to 12 resulting feature vectors. Each representation is compared with corresponding counterpart from the biometric database. We also add the recognition based on the iso-geodesic curves. The final score-level fusion is performed on 13 comparison scores using the Support Vector Machine (SVM) classifier.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of Biometric and Surveillance Technology for Human and Activity Identification XI, Vol. 9075

ISBN

978-1-62841-012-9

ISSN

—

e-ISSN

—

Number of pages

12

Pages from-to

1-12

Publisher name

SPIE - the international society for optics and photonics

Place of publication

Baltimore

Event location

Baltimore

Event date

May 5, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000354514800005