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  • Usage of statistical classifiers, namely AdaBoost and its modifications, is very common in object detection and pattern recognition. Performance of such classifiers strongly depends on low level features they use. This paper presents an experimental implementation of the Local Binary Patterns (LBP) that uses SIMD instructions for acceleration. The experiments shows that the proposed implementation is about six times faster than the plain C implementation (i.e. with no special optimizations) and superior to optimized implementations of features with similar descriptive power.
  • Usage of statistical classifiers, namely AdaBoost and its modifications, is very common in object detection and pattern recognition. Performance of such classifiers strongly depends on low level features they use. This paper presents an experimental implementation of the Local Binary Patterns (LBP) that uses SIMD instructions for acceleration. The experiments shows that the proposed implementation is about six times faster than the plain C implementation (i.e. with no special optimizations) and superior to optimized implementations of features with similar descriptive power. (en)
Title
  • Implementing the Local Binary Patterns with SIMD Instructions of CPU
  • Implementing the Local Binary Patterns with SIMD Instructions of CPU (en)
skos:prefLabel
  • Implementing the Local Binary Patterns with SIMD Instructions of CPU
  • Implementing the Local Binary Patterns with SIMD Instructions of CPU (en)
skos:notation
  • RIV/00216305:26230/10:PU89528!RIV11-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LC06008)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 263118
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/10:PU89528
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • LBP, AdaBoost, Object Detection, Feature Extraction, SIMD, SSE, CUDA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A21F4A03A827]
http://linked.open...v/mistoKonaniAkce
  • Plzeň
http://linked.open...i/riv/mistoVydani
  • Plzeň
http://linked.open...i/riv/nazevZdroje
  • Proceedings of WSCG 2010
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Herout, Adam
  • Juránek, Roman
  • Zemčík, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Západočeská univerzita v Plzni
https://schema.org/isbn
  • 978-80-86943-86-2
http://localhost/t...ganizacniJednotka
  • 26230
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