Human thermal face extraction based on superpixel technique

Result code in 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>
Alternative codes found
RIV/61989100:27740/16:86099087
Result on the web
<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>

Result language
angličtina
Original language name
Human thermal face extraction based on superpixel technique
Original language description
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.
Czech name
—
Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</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
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Intelligent Systems and Computing. Volume 407
ISBN
978-3-319-26688-6
ISSN
2194-5357
e-ISSN
—
Number of pages
10
Pages from-to
163-172
Publisher name
Springer Verlag
Place of publication
London
Event location
Beni Suef
Event date
Nov 28, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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