Improving Face Recognition Methods Based on POEM Features

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43958230" target="_blank" >RIV/49777513:23520/20:43958230 - isvavai.cz</a>

Result on the web

<a href="https://www.scitepress.org/Link.aspx?doi=10.5220/0008950305380545" target="_blank" >https://www.scitepress.org/Link.aspx?doi=10.5220/0008950305380545</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0008950305380545" target="_blank" >10.5220/0008950305380545</a>

Result language

angličtina

Original language name

Improving Face Recognition Methods Based on POEM Features

Original language description

The usual way how POEM descriptors are utilized consists in constructing features in rectangular non-overlapping regions covering the whole image. The features created in the regions are then concatenated into one long vector representing the face. We propose an enhancement of this method using automatic key-point identification strategies. In our approach, the image features are created in the detected key-points. We also employ a more complex matching procedure that compares the features individually. This method is efficient particularly when the number of training samples is small and therefore neural network based methods fail, because they do not have enough training data. The proposed approach is evaluated on three standard face corpora. The obtained results show that the combination of POEM features with the automatic point identification and a more sophisticated matching algorithm brings significant improvement over the baseline method.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

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

Project

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

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

Article name in the collection

Proceedings of the 12th International Conference on Agents and Artificial Intelligence

ISBN

978-989-758-395-7

ISSN

2184-433X

e-ISSN

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Number of pages

8

Pages from-to

538-545

Publisher name

ScitePress

Place of publication

Setúbal

Event location

Valletta, Malta

Event date

Feb 22, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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