Detail publikace
Framework for Research on Detection Classifiers
HRADIŠ, M.
Originální název
Framework for Research on Detection Classifiers
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
Detection of patterns in images withclassifiers is currently one of the most important research topics in computervision. Many practical applications such as face detection exist and recentwork even suggests that any specialized detectors (e.g. corner-point detectors)can be approximated by very fast detection classifiers. In this paper, we analyzethe requirements on tools which are needed when experimenting with detection classifiersand we present a general framework which was created to fulfill theserequirements. This framework offers high performance for training, highvariability, elegant handling of configuration and it is able to meet all therequirements which arise when experimenting with almost all possible kinds ofdetection classifiers. The framework offers good testing support, fullsupporting infrastructure and some useful training algorithms and features. We offerthis framework for research and educational purposes and we hope it will allow lowerinitial investments when experimenting with detectionclassifiers.
Klíčová slova
Detection, Face Detection, Classification, Image Processing,Computer Vision, AdaBoost, WaldBoost, Cascade of Classifiers, Corner Points,Classifier Evaluation
Autoři
HRADIŠ, M.
Rok RIV
2008
Vydáno
22. 4. 2008
Nakladatel
Comenius University in Bratislava
Místo
Budmerice
ISBN
978-80-89186-30-3
Kniha
Proceedings of Spring Conference on Computer Graphics
Strany od
171
Strany do
177
Strany počet
7
URL
BibTex
@inproceedings{BUT27709,
author="Michal {Hradiš}",
title="Framework for Research on Detection Classifiers",
booktitle="Proceedings of Spring Conference on Computer Graphics",
year="2008",
pages="171--177",
publisher="Comenius University in Bratislava",
address="Budmerice",
isbn="978-80-89186-30-3",
url="http://www.fit.vutbr.cz/research/groups/graph/publi/2008/2008-Hradis-SCCG-Framework.pdf"
}