Active Shape Model and Linear Predictors for Face Association Refinement

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00158313" target="_blank" >RIV/68407700:21230/09:00158313 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Active Shape Model and Linear Predictors for Face Association Refinement
Original language description
This paper summarizes results of face association experiments on real low resolution data from airport and the Labeled faces in the Wild (LFW) database. The objective of experiments is to evaluate different face alignment methods and their contribution to face association as such. The first alignment method used is Sequential Learnable Linear Predictor (SLLiP), originally developed for object tracking. The second method is well known face alignment method Active Shape Model (ASM). Both methods are compared versus face association without alignment. In case of high resolution LFW database the ASM rapidly increases the association results, on the other hand for real low resolution airport data the SLLiP method brought more improvement than ASM.
Czech name
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Czech description
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Project
<a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The Ninth IEEE International Workshop on Visual Surveillance 2009
ISBN
978-1-4244-4441-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1193-1200
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Kyoto
Event date
Oct 3, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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