Evaluation of interest point detectors for image information extraction

Authors: Iñigo Barandiaran and John Edgar Congote and Jon Goenetxea and Manuel Graña and O. Ruiz

Date: 12.09.2012


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Abstract

Interest points extraction and matching is a common task in many computer vision based application, which are used in di erent domains, such as 3D reconstruction, object recognition, or tracking. We present an evaluation of current state of the art about interest point extraction algorithms to measure several parameters, such as detection quality, invariance to rotation and scale transformation, and computational efficiency.

BIB_text

@Article {
author = {Iñigo Barandiaran and John Edgar Congote and Jon Goenetxea and Manuel Graña and O. Ruiz},
title = {Evaluation of interest point detectors for image information extraction},
pages = {2170-2179},
volume = {243},
keywds = {

Computer vision, Interest points, point matching


}
abstract = {

Interest points extraction and matching is a common task in many computer vision based application, which are used in di erent domains, such as 3D reconstruction, object recognition, or tracking. We present an evaluation of current state of the art about interest point extraction algorithms to measure several parameters, such as detection quality, invariance to rotation and scale transformation, and computational efficiency.


}
isbn = {978-1-61499-104-5},
isi = {1},
date = {2012-09-12},
year = {2012},
}
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