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SCHAFFROTH, P. SVOBODA, P.
Original Title
Fast corner point detection through machine learning
Type
article in a collection out of WoS and Scopus
Language
English
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.
Keywords
Corner point detection, Machine learning, Comparison of corner point detection methods
Authors
SCHAFFROTH, P.; SVOBODA, P.
RIV year
2011
Released
28. 4. 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/" }