Recognition and retrieval of objects in diverse applications
Fernández-Robles, Laura
Alegre Gutiérrez, Enrique, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática)
Castejón Limas, Manuel, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática)
Petkov, Nicolai, dir. (University of Groningen. Johann Bernoulli Institute for Mathematics and Computer Science)

Date:	2017
Abstract:	This work proposes and evaluates object description and retrieval techniques in different real applications. It addresses the classification of boar spermatozoa according to acrosome integrity using several methods based on invariant local features. In addition, it provides two new methods for insert localisation and an automatic solution for the recognition of broken inserts in edge profile milling heads that can be set up in-process without delaying any machining operations. Finally, it evaluates different clusterings of keypoints for object retrieval and proposes a new descriptor, named colour COSFIRE, in the scope of the European project Advisory System Against Sexual Exploitation of Children.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Altres ; recerca ; Versió publicada
Subject:	Object description and recognition ; Colour and texture ; Machine vision
Published in:	ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 21-24 (Special Issue on Recent PhD Thesis Dissemination (2017)) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v16-n2-fernandez
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/v16-n2-fernandez
DOI: 10.5565/rev/elcvia.1130

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