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  • In this paper we describe a detector of facial landmarks based on the Deformable Part Models. We treat the task of landmark detection as an instance of the structured output classification problem. We propose to learn the parameters of the detector from data by the Structured Output Support Vector Machines algorithm. In contrast to the previous works, the objective function of the learning algorithm is directly related to the performance of the resulting detector which is controlled by a user-defined loss function. The resulting detector is real-time on a standard PC, simple to implement and it can be easily modified for detection of a different set of landmarks. We evaluate performance of the proposed landmark detector on a challenging ''''Labeled Faces in the Wild`` (LFW) database. The empirical results demonstrate that the proposed detector is consistently more accurate than two public domain implementations based on the Active Appearance Models and the Deformable Part Models. We provide an open-source implementation of the proposed detector and the manual annotation of the facial landmarks for all images in the LFW database.
  • In this paper we describe a detector of facial landmarks based on the Deformable Part Models. We treat the task of landmark detection as an instance of the structured output classification problem. We propose to learn the parameters of the detector from data by the Structured Output Support Vector Machines algorithm. In contrast to the previous works, the objective function of the learning algorithm is directly related to the performance of the resulting detector which is controlled by a user-defined loss function. The resulting detector is real-time on a standard PC, simple to implement and it can be easily modified for detection of a different set of landmarks. We evaluate performance of the proposed landmark detector on a challenging ''''Labeled Faces in the Wild`` (LFW) database. The empirical results demonstrate that the proposed detector is consistently more accurate than two public domain implementations based on the Active Appearance Models and the Deformable Part Models. We provide an open-source implementation of the proposed detector and the manual annotation of the facial landmarks for all images in the LFW database. (en)
Title
  • Detector of Facial Landmarks Learned by the Structured Output SVM
  • Detector of Facial Landmarks Learned by the Structured Output SVM (en)
skos:prefLabel
  • Detector of Facial Landmarks Learned by the Structured Output SVM
  • Detector of Facial Landmarks Learned by the Structured Output SVM (en)
skos:notation
  • RIV/68407700:21230/12:00200340!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), P(7E10047)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 130482
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00200340
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Facial Landmark Detection; Structured Output Classification; Support Vector Machines; Deformable Part Models (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BE11ACF97137]
http://linked.open...v/mistoKonaniAkce
  • Rome
http://linked.open...i/riv/mistoVydani
  • Porto
http://linked.open...i/riv/nazevZdroje
  • VISAPP 2012: Proceedings of the 7th International Conference on Computer Vision Theory and Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hlaváč, Václav
  • Franc, Vojtěch
  • Uřičář, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • SciTePress - Science and Technology Publications
https://schema.org/isbn
  • 978-989-8565-03-7
http://localhost/t...ganizacniJednotka
  • 21230
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