Recognition and retrieval of objects in diverse applications
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 inser...
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| Format: | Article |
| Language: | English |
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Computer Vision Center Press
2018-03-01
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| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| Subjects: | |
| Online Access: | https://elcvia.cvc.uab.es/article/view/1130 |
| _version_ | 1818362446374502400 |
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| author | Laura Fernández-Robles |
| author_facet | Laura Fernández-Robles |
| author_sort | Laura Fernández-Robles |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T21:32:43Z |
| format | Article |
| id | doaj.art-f912c901d2c4496ca69a8223c717cb1e |
| institution | Directory Open Access Journal |
| issn | 1577-5097 |
| language | English |
| last_indexed | 2024-12-13T21:32:43Z |
| publishDate | 2018-03-01 |
| publisher | Computer Vision Center Press |
| record_format | Article |
| series | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| spelling | doaj.art-f912c901d2c4496ca69a8223c717cb1e2022-12-21T23:30:46ZengComputer Vision Center PressELCVIA Electronic Letters on Computer Vision and Image Analysis1577-50972018-03-0116210.5565/rev/elcvia.1130321Recognition and retrieval of objects in diverse applicationsLaura Fernández-Robles0Universidad de LeónThis 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.https://elcvia.cvc.uab.es/article/view/1130Object Description and RecognitionColour and TextureMachine Vision |
| spellingShingle | Laura Fernández-Robles Recognition and retrieval of objects in diverse applications ELCVIA Electronic Letters on Computer Vision and Image Analysis Object Description and Recognition Colour and Texture Machine Vision |
| title | Recognition and retrieval of objects in diverse applications |
| title_full | Recognition and retrieval of objects in diverse applications |
| title_fullStr | Recognition and retrieval of objects in diverse applications |
| title_full_unstemmed | Recognition and retrieval of objects in diverse applications |
| title_short | Recognition and retrieval of objects in diverse applications |
| title_sort | recognition and retrieval of objects in diverse applications |
| topic | Object Description and Recognition Colour and Texture Machine Vision |
| url | https://elcvia.cvc.uab.es/article/view/1130 |
| work_keys_str_mv | AT laurafernandezrobles recognitionandretrievalofobjectsindiverseapplications |