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dc.contributor.authorBarrera-Pelayo, Alicia
dc.contributor.authorVillalón-Turrubiates, Iván E.
dc.date.accessioned2016-04-21T18:34:39Z
dc.date.accessioned2023-03-10T16:53:31Z
dc.date.available2016-04-21T18:34:39Z
dc.date.available2023-03-10T16:53:31Z
dc.date.issued2015-07
dc.identifier.citationIvan E. Villalon-Turrubiates y Alicia Barrera-Pelayo, “A Novel Algorithm for Tridimensional Reconstruction using Data from Low-Cost Sensors”, en Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Understanding the Earth for a Safer World, Milán Italia, 2015, pp. 3014-3017.es
dc.identifier.isbn978-1-4799-7929-5
dc.identifier.urihttps://hdl.handle.net/20.500.12032/68839
dc.descriptionA novel algorithm to generate a tridimensional reconstruction of an object using a series of images obtained with sensors within low-cost cameras is proposed. As a matter of particular study, this paper present the methodology employed to set an array of sensors to extract the necessary information from a particular group of acquired images surrounding the sample, the processing schema for its interpretation and its mapping, in order to approximate a tridimensional model with the use of real data. The simulation results can verify the efficiency of the proposed approach, showing an application where it could be a useful tool for decision support or resource management.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.relation.ispartofseries2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Understanding the Earth for a Safer World;
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes
dc.subjectImage Processinges
dc.subjectOptical Sensores
dc.subjectArray Signal Processinges
dc.subjectMonitoringes
dc.titleA Novel Algorithm for Tridimensional Reconstruction using Data from Low-Cost Sensorses
dc.typeinfo:eu-repo/semantics/conferencePaperes


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