About: Facial Landmarks Detector Learned by the Structured Output SVM

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007/978-3-642-38241-3_26
Description	We propose a principled approach to supervised learning of facial landmarks detector based on the Deformable Part Models (DPM). We treat the task of landmarks detection as an instance of the structured output classification. To learn the parameters of the detector we use the Structured Output Support Vector Machines algorithm. The objective function of the learning algorithm is directly related to the performance of the detector and controlled by the user-defined loss function, in contrast to the previous works. Our proposed detector is real-time on a standard computer, simple to implement and easily modifiable for detection of various set of landmarks. We evaluate the performance of our detector on a challenging ``Labeled Faces in the Wild'' (LFW) database. The empirical results show that our detector consistently outperforms two public domain implementations based on the Active Appearance Models and the DPM. We are releasing open-source code implementing our proposed detector along with the manual annotation of seven facial landmarks for nearly all images in the LFW database. We propose a principled approach to supervised learning of facial landmarks detector based on the Deformable Part Models (DPM). We treat the task of landmarks detection as an instance of the structured output classification. To learn the parameters of the detector we use the Structured Output Support Vector Machines algorithm. The objective function of the learning algorithm is directly related to the performance of the detector and controlled by the user-defined loss function, in contrast to the previous works. Our proposed detector is real-time on a standard computer, simple to implement and easily modifiable for detection of various set of landmarks. We evaluate the performance of our detector on a challenging ``Labeled Faces in the Wild'' (LFW) database. The empirical results show that our detector consistently outperforms two public domain implementations based on the Active Appearance Models and the DPM. We are releasing open-source code implementing our proposed detector along with the manual annotation of seven facial landmarks for nearly all images in the LFW database. (en)
Title	Facial Landmarks Detector Learned by the Structured Output SVM Facial Landmarks Detector Learned by the Structured Output SVM (en)
skos:prefLabel	Facial Landmarks Detector Learned by the Structured Output SVM Facial Landmarks Detector Learned by the Structured Output SVM (en)
skos:notation	RIV/68407700:21230/13:00211709!RIV14-MSM-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(7E10047), P(GAP103/10/0783), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Hlaváč, Václav Franc, Vojtěch Uřičář, Michal
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	74510
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/13:00211709
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Facial Landmarks Detection; Deformable Part Models; Structured Output Classification; Structured Output SVM (en)
http://linked.open.../riv/klicoveSlovo	Structured Output SVM Facial Landmarks Detection Deformable Part Models Structured Output Classification
http://linked.open...ontrolniKodProRIV	[78C2919E06D4]
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...vEdiceCisloSvazku	Communications in Computer and Information Science č. sv. 359
http://linked.open...i/riv/nazevZdroje	Computer Vision, Imaging and Computer Graphics. Theory and Application
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...v/pocetStranKnihy	446 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Humanoids with auditory and visual abilities in populated spaces Structure and its impact for recognition
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Hlaváč, Václav Franc, Vojtěch Uřičář, Michal
number of pages	16 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-38241-3_26
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-38240-6
http://localhost/t...ganizacniJednotka	21230

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