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Description
  • We present an implementation of the Speeded Up Robust Features (SURF) on a Field Programmable Gate Array (FPGA). The SURF algorithm extracts salient points from image and computes descriptors of their surroundings that are invariant to scale, rotation and illumination changes. The interest point detection and feature descriptor extraction algorithm is often used as the first stage in autonomous robot navigation, object recognition and tracking etc. However, detection and extraction are computationally demanding and therefore can't be used in systems with limited computational power. We took advantage of algorithm's natural parallelism and implemented it's most demanding parts in FPGA logic. Several modifications of the original algorithm have been made to increase it's suitability for FPGA implementation.
  • We present an implementation of the Speeded Up Robust Features (SURF) on a Field Programmable Gate Array (FPGA). The SURF algorithm extracts salient points from image and computes descriptors of their surroundings that are invariant to scale, rotation and illumination changes. The interest point detection and feature descriptor extraction algorithm is often used as the first stage in autonomous robot navigation, object recognition and tracking etc. However, detection and extraction are computationally demanding and therefore can't be used in systems with limited computational power. We took advantage of algorithm's natural parallelism and implemented it's most demanding parts in FPGA logic. Several modifications of the original algorithm have been made to increase it's suitability for FPGA implementation. (en)
Title
  • FPGA-based Speeded Up Robust Features
  • FPGA-based Speeded Up Robust Features (en)
skos:prefLabel
  • FPGA-based Speeded Up Robust Features
  • FPGA-based Speeded Up Robust Features (en)
skos:notation
  • RIV/68407700:21230/09:00159088!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(2C06005), P(7E08006), Z(MSM6840770038)
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
  • 315483
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00159088
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • machine vision; visual navigation; SURF; FPGA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1F0744F51FA2]
http://linked.open...v/mistoKonaniAkce
  • Woburn
http://linked.open...i/riv/mistoVydani
  • Boston
http://linked.open...i/riv/nazevZdroje
  • 2009 IEEE International Conference on Technologies for Practical Robot 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
  • Faigl, Jan
  • Krajník, Tomáš
  • Přeučil, Libor
  • Šváb, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000289878100007
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/TEPRA.2009.5339646
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4244-4991-0
http://localhost/t...ganizacniJednotka
  • 21230
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