Publication
Fast cortical keypoints for real-time object recognition
| dc.contributor.author | Terzic, Kasim | |
| dc.contributor.author | Rodrigues, J. M. F. | |
| dc.contributor.author | du Buf, J. M. H. | |
| dc.date.accessioned | 2014-01-29T10:50:15Z | |
| dc.date.available | 2014-01-29T10:50:15Z | |
| dc.date.issued | 2013-09 | |
| dc.date.updated | 2014-01-27T23:27:12Z | |
| dc.description.abstract | Best-performing object recognition algorithms employ a large number features extracted on a dense grid, so they are too slow for real-time and active vision. In this paper we present a fast cortical keypoint detector for extracting meaningful points from images. It is competitive with state-of-the-art detectors and particularly well-suited for tasks such as object recognition. We show that by using these points we can achieve state-of-the-art categorization results in a fraction of the time required by competing algorithms. | por |
| dc.identifier.citation | Terzic, Kasim; Rodrigues, J.M.F.; Buf, J. M. H.Fast cortical keypoints for real-time object recognition, Trabalho apresentado em IEEE Int. Conf. on Image Processing, In IEEE Int. Conf. on Image Processing, Melbourne, Australia, 2013. | por |
| dc.identifier.isbn | 978-1-4799-2341-0 | |
| dc.identifier.other | AUT: JRO00913; DUB00865; | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/3375 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | IEEE | por |
| dc.relation | A neuro-dynamic framework for cognitive robotics: scene representations, behavioural sequences, and learning. | |
| dc.subject | Computer vision | por |
| dc.subject | Object recognition | por |
| dc.subject | Image classification | por |
| dc.subject | Gabor filters | por |
| dc.subject | Real time systems | por |
| dc.title | Fast cortical keypoints for real-time object recognition | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | A neuro-dynamic framework for cognitive robotics: scene representations, behavioural sequences, and learning. | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/FP7/270247/EU | |
| oaire.citation.conferencePlace | Melbourne, Australia | por |
| oaire.citation.endPage | 3376 | por |
| oaire.citation.startPage | 3372 | por |
| oaire.citation.title | IEEE 2013 International Conference on Image Processing | por |
| oaire.fundingStream | FP7 | |
| person.familyName | Terzic | |
| person.familyName | Rodrigues | |
| person.familyName | du Buf | |
| person.givenName | Kasim | |
| person.givenName | Joao | |
| person.givenName | Hans | |
| person.identifier.ciencia-id | 8A19-98F7-9914 | |
| person.identifier.orcid | 0000-0001-6692-209X | |
| person.identifier.orcid | 0000-0002-3562-6025 | |
| person.identifier.orcid | 0000-0002-4345-1237 | |
| person.identifier.rid | N-6522-2013 | |
| person.identifier.rid | M-5125-2013 | |
| person.identifier.scopus-author-id | 24544884400 | |
| person.identifier.scopus-author-id | 55807461600 | |
| person.identifier.scopus-author-id | 6604075916 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | European Commission | |
| rcaap.rights | openAccess | por |
| rcaap.type | conferenceObject | por |
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