A combined SIFT/SURF descriptor for automatic face recognition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43920931" target="_blank" >RIV/49777513:23520/13:43920931 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1117/12.2052804" target="_blank" >http://dx.doi.org/10.1117/12.2052804</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2052804" target="_blank" >10.1117/12.2052804</a>

Result language

angličtina

Original language name

A combined SIFT/SURF descriptor for automatic face recognition

Original language description

The paper presents a novel approach for Automatic Face Recognition (AFR). The apporach is based on combined SIFT/SURF descriptor for face representation. The adapted Kepenekci matching method is adopted for the face comparison stage. The proposed methodis evaluated on the FERET and ČTK corpora. The obtained recognition rates are 98.4% and 64.6% respectively. These recognition scores show that our approach outperforms significantly all other methods on these corpora.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

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

Article name in the collection

ICMV 2013

ISBN

978-0-8194-9996-7

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

"90672C1"-"90672C6"

Publisher name

SPIE

Place of publication

Bellingham, Wash

Event location

Londýn

Event date

Nov 16, 2013

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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