Publicação
Enhancing Thermal Fiducial Marker Detection: Focus on Image Processing Techniques
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.fos | Engenharia e Tecnologia::Outras Engenharias e Tecnologias | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | França, Andre | |
| dc.contributor.author | Berger, Guido S. | |
| dc.contributor.author | Mendes, André | |
| dc.contributor.author | Lima, José | |
| dc.date.accessioned | 2026-02-20T09:34:47Z | |
| dc.date.available | 2026-02-20T09:34:47Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | This article proposes methods for maximising the detection rates of thermal fiducial markers using thermography. By exploring the combination of image processing techniques with the use of an affordable thermographic camera, the aim is to mitigate the negative effects of thermography and improve accurate marker identification in a variety of mounting and distance conditions. The research identified a diversity of processing techniques capable of improving thermal marker recognition, offering the potential to surpass previous results. The results highlight the possibility of using low-cost thermographic cameras for this purpose, which could democratise and reduce the costs of recognition processes. This methodology validates the proposed approach, providing a robust basis for future improvements in thermal marker detection and promoting the feasibility of practical, low-cost applications in an assortment of fields. | eng |
| 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 (DOI: 10.54499/UIDB/05757/2020) and UIDP/05757/2020 (DOI: 10.54499/UIDP/05757/2020) and SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020). | |
| dc.identifier.citation | França, Andre; Berger, Guido S.; Mendes, André; Lima, José (2024). Enhancing Thermal Fiducial Marker Detection: Focus on Image Processing Techniques. Optimization Learning Algorithms and Applications (OL2A) 2024, PART II. ISSN 1865-0929. 2281, p. 211-226 | |
| dc.identifier.doi | 10.1007/978-3-031-77432-4_15 | |
| dc.identifier.isbn | 9783031774317 | |
| dc.identifier.isbn | 9783031774324 | |
| dc.identifier.issn | 1865-0929 | |
| dc.identifier.issn | 1865-0937 | |
| dc.identifier.uri | http://hdl.handle.net/10198/35811 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer Nature | |
| 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 - LA/P/0007/2020 | |
| dc.relation.ispartof | Communications in Computer and Information Science | |
| dc.relation.ispartof | Optimization, Learning Algorithms and Applications | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | |
| dc.subject | Thermal | |
| dc.subject | Fiducial markers | |
| dc.subject | Image processing | |
| dc.subject | Processing techniques | |
| dc.title | Enhancing Thermal Fiducial Marker Detection: Focus on Image Processing Techniques | eng |
| 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 - LA/P/0007/2020 | |
| 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 | 226 | |
| oaire.citation.startPage | 211 | |
| oaire.citation.title | Optimization Learning Algorithms and Applications (OL2A) 2024, PART II | |
| oaire.citation.volume | 2281 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Berger | |
| person.familyName | Lima | |
| person.givenName | Guido S. | |
| person.givenName | José | |
| person.identifier | R-000-8GD | |
| person.identifier.ciencia-id | 931A-887B-D75D | |
| person.identifier.ciencia-id | 6016-C902-86A9 | |
| person.identifier.orcid | 0000-0002-4100-1494 | |
| person.identifier.orcid | 0000-0001-7902-1207 | |
| person.identifier.rid | L-3370-2014 | |
| person.identifier.scopus-author-id | 55851941311 | |
| 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 | |
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