About: Face and Landmark Detection by Using Cascade of Classifiers

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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	ftp://cmp.felk.cvut.cz/pub/cmp/articles/franc/Cevilkalp-FaceDetector-FG2013.pdf
Description	In this paper, we consider face detection along with facial landmark localization inspired by the recent studies showing that incorporating object parts improves the detection accuracy. To this end, we train roots and parts detectors where the roots detector returns candidate image regions that cover the entire face, and the parts detector searches for the landmark locations within the candidate region. We use a cascade of binary and one-class type classifiers for the roots detection and SVM like learning algorithm for the parts detection. Our proposed face detector outperforms the most of the successful face detection algorithms in the literature and gives the second best result on all tested challenging face detection databases. Experimental results show that including parts improves the detection performance when face images are large and the details of eyes and mouth are clearly visible, but does not introduce any improvement when the images are small. In this paper, we consider face detection along with facial landmark localization inspired by the recent studies showing that incorporating object parts improves the detection accuracy. To this end, we train roots and parts detectors where the roots detector returns candidate image regions that cover the entire face, and the parts detector searches for the landmark locations within the candidate region. We use a cascade of binary and one-class type classifiers for the roots detection and SVM like learning algorithm for the parts detection. Our proposed face detector outperforms the most of the successful face detection algorithms in the literature and gives the second best result on all tested challenging face detection databases. Experimental results show that including parts improves the detection performance when face images are large and the details of eyes and mouth are clearly visible, but does not introduce any improvement when the images are small. (en)
Title	Face and Landmark Detection by Using Cascade of Classifiers Face and Landmark Detection by Using Cascade of Classifiers (en)
skos:prefLabel	Face and Landmark Detection by Using Cascade of Classifiers Face and Landmark Detection by Using Cascade of Classifiers (en)
skos:notation	RIV/68407700:21230/13:00212536!RIV14-MSM-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7E10047)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Franc, Vojtěch
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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	74496
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/13:00212536
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Face detection; Landmark Detection; Support Vector Machines (en)
http://linked.open.../riv/klicoveSlovo	Support Vector Machines Landmark Detection Face detection
http://linked.open...ontrolniKodProRIV	[A9E3834A0B71]
http://linked.open...v/mistoKonaniAkce	Shanghai
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Humanoids with auditory and visual abilities in populated spaces
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Franc, Vojtěch Cevikalp, H. Triggs, B.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-04-22 (xsd:date)
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/FG.2013.6553705
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4673-5545-2
http://localhost/t...ganizacniJednotka	21230

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