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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F14%3A00223248%21RIV15-MSM-21230___
rdf:type
skos:Concept n13:Vysledek
rdfs:seeAlso
http://dx.doi.org/10.1109/ICPR.2014.378
dcterms:description
A real-time algorithm for accurate localization of facial landmarks in a single monocular image is proposed. The algorithm is formulated as an optimization problem, in which the sum of responses of local classifiers is maximized with respect to the camera pose by fit ting a generic (not a person specific) 3D model. The algorithm simultaneously estimates a head position and orientation and detects the facial landmarks in the image. Despite being local, we show that the basin of attraction is large to the extent it can be initialized by a scannin g window face detector. Other experiments on standard datasets demonstrate that the proposed a lgorithm outperforms a state-of-the-art landmark detector especially for non-frontal face imag es, and that it is capable of reliable and stable tracking for large set of viewing angles. A real-time algorithm for accurate localization of facial landmarks in a single monocular image is proposed. The algorithm is formulated as an optimization problem, in which the sum of responses of local classifiers is maximized with respect to the camera pose by fit ting a generic (not a person specific) 3D model. The algorithm simultaneously estimates a head position and orientation and detects the facial landmarks in the image. Despite being local, we show that the basin of attraction is large to the extent it can be initialized by a scannin g window face detector. Other experiments on standard datasets demonstrate that the proposed a lgorithm outperforms a state-of-the-art landmark detector especially for non-frontal face imag es, and that it is capable of reliable and stable tracking for large set of viewing angles.
dcterms:title
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking
skos:prefLabel
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking
skos:notation
RIV/68407700:21230/14:00223248!RIV15-MSM-21230___
n3:aktivita
n14:P
n3:aktivity
P(GBP103/12/G084), P(LL1303)
n3:dodaniDat
n10:2015
n3:domaciTvurceVysledku
n15:9680411 n15:1711326 n15:2053586
n3:druhVysledku
n21:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
1295
n3:idVysledku
RIV/68407700:21230/14:00223248
n3:jazykVysledku
n18:eng
n3:klicovaSlova
face; facial landmarks; 3D model; detection; tracking; SVM; optimization
n3:klicoveSlovo
n7:facial%20landmarks n7:face n7:tracking n7:detection n7:3D%20model n7:SVM n7:optimization
n3:kontrolniKodProRIV
[4328FF74661A]
n3:mistoKonaniAkce
Stockholm
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
Proc. of 22nd International Conference on Pattern Recognition
n3:obor
n16:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n9:LL1303 n9:GBP103%2F12%2FG084
n3:rokUplatneniVysledku
n10:2014
n3:tvurceVysledku
Franc, Vojtěch Čech, Jan Matas, Jiří
n3:typAkce
n23:WRD
n3:zahajeniAkce
2014-08-24+02:00
s:issn
1051-4651
s:numberOfPages
6
n17:doi
10.1109/ICPR.2014.378
n19:hasPublisher
IEEE Computer Society Press
n22:isbn
978-1-4799-5208-3
n11:organizacniJednotka
21230