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Statements

Subject Item
n2:RIV%2F61988987%3A17310%2F14%3AA1501BQ1%21RIV15-MSM-17310___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
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 the system 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 process faces 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. 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 the system 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 process faces 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.
dcterms:title
Neural Network Based Complex Visual Information Processing Neural Network Based Complex Visual Information Processing
skos:prefLabel
Neural Network Based Complex Visual Information Processing Neural Network Based Complex Visual Information Processing
skos:notation
RIV/61988987:17310/14:A1501BQ1!RIV15-MSM-17310___
n4:aktivita
n10:S
n4:aktivity
S
n4:dodaniDat
n5:2015
n4:domaciTvurceVysledku
n8:8095663 n8:4260023 n8:3494667
n4:druhVysledku
n17:D
n4:duvernostUdaju
n6:S
n4:entitaPredkladatele
n15:predkladatel
n4:idSjednocenehoVysledku
32234
n4:idVysledku
RIV/61988987:17310/14:A1501BQ1
n4:jazykVysledku
n14:eng
n4:klicovaSlova
Neural network; face detection; face recognition
n4:klicoveSlovo
n9:face%20recognition n9:face%20detection n9:Neural%20network
n4:kontrolniKodProRIV
[09E902976E8D]
n4:mistoKonaniAkce
Vienna, Austria
n4:nazevZdroje
Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing
n4:obor
n20:IN
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:rokUplatneniVysledku
n5:2014
n4:tvurceVysledku
Volná, Eva Žáček, Václav Žáček, Jaroslav
n4:typAkce
n11:WRD
n4:zahajeniAkce
2014-09-01+02:00
s:numberOfPages
8
n7:hasPublisher
SCITEPRESS
n19:isbn
978-989-758-041-3
n13:organizacniJednotka
17310