Publication result detail

Fast corner point detection through machine learning

SCHAFFROTH, P.; SVOBODA, P.

Original Title

Fast corner point detection through machine learning

English Title

Fast corner point detection through machine learning

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

SCHAFFROTH, P.; SVOBODA, P.

RIV year

2013

Released

28.04.2011

Publisher

Brno University of Technology

Location

Brno

ISBN

978-80-214-4273-3

Book

Proceedings of the 17th Conference STUDENT EEICT 2011

Edition

Volume 3

Pages from

537

Pages to

541

Pages count

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/"
}

Documents

FastCornerPointDetectionThroughMachineLearning