Detail publikačního výsledku

Fast corner point detection through machine learning

SCHAFFROTH, P.; SVOBODA, P.

Originální název

Fast corner point detection through machine learning

Anglický název

Fast corner point detection through machine learning

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

The subject of this paper is the procedure of corner point detection using Machine learning algorithms.
The paper compares from many points of view the success of the classical corner point detector and the detector obtained by WaldBoost algorithm.

Anglický abstrakt

The subject of this paper is the procedure of corner point detection using Machine learning algorithms.
The paper compares from many points of view the success of the classical corner point detector and the detector obtained by WaldBoost algorithm.

Klíčová slova

Corner point detection, Machine learning, Comparison of corner point detection methods

Klíčová slova v angličtině

Corner point detection, Machine learning, Comparison of corner point detection methods

Autoři

SCHAFFROTH, P.; SVOBODA, P.

Rok RIV

2013

Vydáno

28.04.2011

Nakladatel

Brno University of Technology

Místo

Brno

ISBN

978-80-214-4273-3

Kniha

Proceedings of the 17th Conference STUDENT EEICT 2011

Edice

Volume 3

Strany od

537

Strany do

541

Strany počet

5

URL

https://www.fit.vut.cz/research/publication/9618/

BibTex

@inproceedings{BUT91093,
  author="Patrick {Schaffroth} and Pavel {Svoboda}",
  title="Fast corner point detection through machine learning",
  booktitle="Proceedings of the 17th Conference STUDENT EEICT 2011",
  year="2011",
  series="Volume 3",
  pages="537--541",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="978-80-214-4273-3",
  url="https://www.fit.vut.cz/research/publication/9618/"
}

Dokumenty

FastCornerPointDetectionThroughMachineLearning