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Description
  • This paper deals with automatic face recognition in the context of a real application for the Czech News Agency. This system will be used to annotate people in photographs during insertion into the database. Unfortunately, the accuracy of the current face recognition approaches is limited and therefore another task to process the recognition results is very important. The main contribution of this work thus consists in proposing and evaluating a novel supervised confidence measure method as the post-processing step in order to detect incorrectly classified face images from the classifier's output. We experimentally show that the proposed confidence measure is beneficial for our application.
  • This paper deals with automatic face recognition in the context of a real application for the Czech News Agency. This system will be used to annotate people in photographs during insertion into the database. Unfortunately, the accuracy of the current face recognition approaches is limited and therefore another task to process the recognition results is very important. The main contribution of this work thus consists in proposing and evaluating a novel supervised confidence measure method as the post-processing step in order to detect incorrectly classified face images from the classifier's output. We experimentally show that the proposed confidence measure is beneficial for our application. (en)
Title
  • Two-step supervised confidence measure for automatic face recognition
  • Two-step supervised confidence measure for automatic face recognition (en)
skos:prefLabel
  • Two-step supervised confidence measure for automatic face recognition
  • Two-step supervised confidence measure for automatic face recognition (en)
skos:notation
  • RIV/49777513:23520/14:43923128!RIV15-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0090), S
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
  • 51558
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/14:43923128
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Scale Invariant Feature Transform (SIFT); Multi-layer Perceptron; Confidence Measure; Czech News Agency; Face Recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FA1323C51D33]
http://linked.open...v/mistoKonaniAkce
  • Reims
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of MLSP 2014
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
  • Král, Pavel
  • Lenc, Ladislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4799-3694-6
http://localhost/t...ganizacniJednotka
  • 23520
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