Publicação
Assessing the 3D Position of a Car with a Single 2D Camera Using Siamese Networks
| dc.contributor.author | Yahia, Youssef | |
| dc.contributor.author | Lopes, Júlio Castro | |
| dc.contributor.author | Bezerra, Eduardo | |
| dc.contributor.author | Rodrigues, Pedro João | |
| dc.contributor.author | Lopes, Rui Pedro | |
| dc.date.accessioned | 2024-10-08T15:15:55Z | |
| dc.date.available | 2024-10-08T15:15:55Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Using computer vision for the classification of an object’s 3D position using a 2D camera is a topic that has received some attention from researchers over the years. Visual data is interpreted by the computer to recognize the objects found. In addition, it is possible to infer their orientation, evaluating their spatial arrangement, rotation, or alignment in the scene. The work presented in this paper describes the training and selection of a siamese neural network for classifying the 3D orientation of cars using 2D images. The neural network is composed of an initial phase for feature selection through convolutional neural networks followed by a dense layer for embedding generation. For feature selection, four architectures were tested: VGG16, VGG19, ResNet18 and ResNet50. The best result of 95.8% accuracy was obtained with the VGG16 and input images preprocessed for background removal. | pt_PT |
| dc.description.sponsorship | The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007 /2021). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Yahia, Youssef Bel Haj; Lopes, Júlio Castro; Bezerra, Eduardo; Rodrigues, Pedro João; Lopes, Rui Pedro (2024). Assessing the 3D Position of a Car with a Single 2D Camera Using Siamese Networks. In 3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023). Cham: Springer Nature, Vol. 2, p. 93–107. ISBN 978-3-031-53035-7 | pt_PT |
| dc.identifier.doi | 10.1007/978-3-031-53036-4_7 | pt_PT |
| dc.identifier.isbn | 978-3-031-53035-7 | |
| dc.identifier.isbn | 978-3-031-53036-4 | |
| dc.identifier.uri | http://hdl.handle.net/10198/30382 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer Nature | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Computer Vision | pt_PT |
| dc.subject | Maintenance support | pt_PT |
| dc.subject | Siamese networks | pt_PT |
| dc.subject | Object Orientation | pt_PT |
| dc.title | Assessing the 3D Position of a Car with a Single 2D Camera Using Siamese Networks | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/05757/2020 | |
| oaire.awardNumber | UIDP/05757/2020 | |
| oaire.awardNumber | LA/P/0007/2020 | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT | |
| oaire.citation.endPage | 107 | pt_PT |
| oaire.citation.startPage | 93 | pt_PT |
| oaire.citation.title | 3rd International Conference on Optimization, Learning Algorithms and Applications (OL2A 2023) | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Rodrigues | |
| person.familyName | Lopes | |
| person.givenName | Pedro João | |
| person.givenName | Rui Pedro | |
| person.identifier.ciencia-id | 1316-21BB-9015 | |
| person.identifier.ciencia-id | 8E14-54E4-4DB5 | |
| person.identifier.orcid | 0000-0002-0555-2029 | |
| person.identifier.orcid | 0000-0002-9170-5078 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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