2021-04-162012-01-01922638915356698WOS;000332936700220SCOPUS;2-s2.0-84879075172http://hdl.handle.net/10784/29526Interest points extraction and matching is a common task in many computer vision based application, which are used in different 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. © 2012 The authors and IOS Press. All rights reserved.https://v2.sherpa.ac.uk/id/publication/issn/0922-6389info:eu-repo/semantics/articleComputational efficiencyComputer visionImage matchingKnowledge based systemsObject recognition3D reconstructionDifferent domainsInterest Point DetectorsInterest pointsPoint extractionPoint-matchingScale transformationVision-based applicationsQuality control2021-04-16Barandiaran, I.Congote, J.Goenetxea, J.Ruiz, O.10.3233/978-1-61499-105-2-2170