Neural Network Based Complex Visual Information Processing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F14%3AA1501BQ1" target="_blank" >RIV/61988987:17310/14:A1501BQ1 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Neural Network Based Complex Visual Information Processing

Popis výsledku v původním jazyce

This paper focuses on the issue of detecting and recognizing faces. The work is divided into three main categories. The first part is about detection of faces in constrained conditions. The second part focuses on creation of a different recognition approach. The third one is about the test with robotic devices. However mobile devices (such as robots, small CCD cameras or cheaper cell phones) have many limitations i.e. images quality or very limited computing performance. With respect to limitations thesystem manages two substantial parts. The first one is responsible for detecting a face in an image. The second one is responsible for calculating the information featured in a face image and recognition of that information. The system is able to processfaces in real-time with minimal computation performance and to use minimal space for storing its data. The proposed system was tested on a face database. We have used a FDDB benchmark for an exact comparison.

Název v anglickém jazyce

Neural Network Based Complex Visual Information Processing

Popis výsledku anglicky

This paper focuses on the issue of detecting and recognizing faces. The work is divided into three main categories. The first part is about detection of faces in constrained conditions. The second part focuses on creation of a different recognition approach. The third one is about the test with robotic devices. However mobile devices (such as robots, small CCD cameras or cheaper cell phones) have many limitations i.e. images quality or very limited computing performance. With respect to limitations thesystem manages two substantial parts. The first one is responsible for detecting a face in an image. The second one is responsible for calculating the information featured in a face image and recognition of that information. The system is able to processfaces in real-time with minimal computation performance and to use minimal space for storing its data. The proposed system was tested on a face database. We have used a FDDB benchmark for an exact comparison.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing

ISBN

978-989-758-041-3

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

53-60

Název nakladatele

SCITEPRESS

Místo vydání

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Místo konání akce

Vienna, Austria

Datum konání akce

1. 9. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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