Human thermal face extraction based on superpixel technique

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099087" target="_blank" >RIV/61989100:27240/16:86099087 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/16:86099087

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-26690-9_15" target="_blank" >http://dx.doi.org/10.1007/978-3-319-26690-9_15</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-26690-9_15" target="_blank" >10.1007/978-3-319-26690-9_15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Human thermal face extraction based on superpixel technique

Popis výsledku v původním jazyce

Face extraction is considered a very important step in developing a recognition system. It is a challenging task as there are different face expressions, rotations, and artifacts including glasses and hats. In this paper, a face extraction model is proposed for thermal IR human face images based on superpixel technique. Superpixels can improve the computational efficiency of algorithms as it reduces hundreds of thousands of pixels to at most a few thousand superpixels. Superpixels in this paper are formulated using the quick-shift method. The Quick-Shift's superpixels and automatic thresholding using a simple Otsu's thresholding help to produce good results of extracting faces from the thermal images. To evaluate our approach, 18 persons with 22,784 thermal images were used from the Terravic Facial IR Database. The Experimental results showed that the proposed model was robust against image illumination, face rotations, and different artifacts in many cases compared to the most related work. (C) Springer International Publishing Switzerland 2016.

Název v anglickém jazyce

Human thermal face extraction based on superpixel technique

Popis výsledku anglicky

Face extraction is considered a very important step in developing a recognition system. It is a challenging task as there are different face expressions, rotations, and artifacts including glasses and hats. In this paper, a face extraction model is proposed for thermal IR human face images based on superpixel technique. Superpixels can improve the computational efficiency of algorithms as it reduces hundreds of thousands of pixels to at most a few thousand superpixels. Superpixels in this paper are formulated using the quick-shift method. The Quick-Shift's superpixels and automatic thresholding using a simple Otsu's thresholding help to produce good results of extracting faces from the thermal images. To evaluate our approach, 18 persons with 22,784 thermal images were used from the Terravic Facial IR Database. The Experimental results showed that the proposed model was robust against image illumination, face rotations, and different artifacts in many cases compared to the most related work. (C) Springer International Publishing Switzerland 2016.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 407

ISBN

978-3-319-26688-6

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

10

Strana od-do

163-172

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Beni Suef

Datum konání akce

28. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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