@inproceedings{e595d7b738e141d99dd733e138b16e32,
title = "Robust keypoint detection using dynamics",
abstract = "In this paper we present a keypoint detector based on the bimodality of the histograms of oriented gradients (HOGs). We compute the bimodality of each HOG, and a bimodality image is constructed from the result of this bimodality test. The maxima with highest dynamics of the image obtained are selected as robust keypoints. The bimodality test of HOGs used is also based on dynamics. We compare the results obtained using this method with a set of well-known keypoint detectors.",
keywords = "dynamics, histograms of oriented gradients, keypoint detection, test of bimodality",
author = "Cata{\~n}o, {Miguel Angel} and Juan Climent",
year = "2013",
doi = "10.1007/978-3-642-38294-9_34",
language = "English",
isbn = "9783642382932",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "402--412",
booktitle = "Mathematical Morphology and Its Applications to Signal and Image Processing - 11th International Symposium, ISMM 2013, Proceedings",
note = "11th International Symposium on Mathematical Morphology, ISMM 2013 ; Conference date: 27-05-2013 Through 29-05-2013",
}