Sistema de reconstrucción de mosaicos con fusión de información de profundidad.
| dc.contributor.advisor | Gutiérrez, Edgar | |
| dc.contributor.advisor | Pardo, Camilo | |
| dc.contributor.advisor | Chaparro, Fabián | |
| dc.contributor.author | Montejo Diaz, Gilberth Steeven | |
| dc.contributor.corporatename | Universidad Santo Tomás | spa |
| dc.contributor.corporatename | Universidad Santo Tomás Tunja | spa |
| dc.date.accessioned | 2022-12-14T22:11:20Z | |
| dc.date.available | 2022-12-14T22:11:20Z | |
| dc.date.issued | 2022-12-05 | |
| dc.description | Se ha desarrollado una aplicación para el sistema operativo Ubuntu 18.04 en lenguaje Python 3.6, que permite la reconstrucción de mosaicos con fusión de información de profundidad, El software cuenta con una interfaz que permite el lanzamiento de dos subsistemas. El primer subsistema se encarga de establecer una conexión con el Kinect V1, (que es el dispositivo de adquisición de datos utilizado) y permite la captura y almacenamiento de muestras de una escena. El segundo subsistema se encarga de procesar los datos e integra un filtro de distancia, que permite seleccionar o excluir objetos de interés. El resultado final se obtiene en formato ply y se crea a partir del procesamiento de una nube de puntos, con la información adquirida. | spa |
| dc.description.abstract | An application has been developed for the Ubuntu 18.04 operating system in Python 3.6 language, which allows the reconstruction of mosaics with fusion of depth information, The software has an interface that allows the launching of two subsystems. The first subsystem is in charge of establishing a connection with the Kinect V1, (which is the data acquisition device used) and allows the capture and storage of samples of a scene. The second subsystem is in charge of processing the data and integrates a distance filter, which allows to select or exclude objects of interest. The final result is obtained in ply format and is created from the processing of a point cloud, with the acquired information. | spa |
| dc.description.degreelevel | Pregrado | spa |
| dc.description.degreename | Ingeniero Electronico | spa |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Montejo, G. S. (2022). Sistema de Reconstrucción de Mosaicos con Fusión de información de Profundidad. Universidad Santo Tomás. | spa |
| dc.identifier.instname | instname:Universidad Santo Tomás | spa |
| dc.identifier.reponame | reponame:Repositorio Institucional Universidad Santo Tomás | spa |
| dc.identifier.repourl | repourl:https://repository.usta.edu.co | spa |
| dc.identifier.uri | http://hdl.handle.net/11634/48371 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Santo Tomás | spa |
| dc.publisher.branch | CRAI-USTA Tunja | spa |
| dc.publisher.faculty | Facultad de Ingeniería Electrónica | spa |
| dc.publisher.program | Pregrado Ingeniería Electrónica | spa |
| dc.relation.references | J. Li, W. Gao, Y. Wu, Y. Liu, and Y. Shen, “High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review,” Computational Visual Media, vol. 8, no. 3. Tsinghua University, pp. 369–393, Sep. 01, 2022. doi: 10.1007/s41095-021-0250-8 | spa |
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| dc.relation.references | A. Harjoko, R. M. Hujja, and L. Awaludin, “Low-cost 3D surface reconstruction using Stereo camera for small object,” in 2017 International Conference on Signals and Systems (ICSigSys), 2017, pp. 285–289. doi: 10.1109/ICSIGSYS.2017.7967057 | spa |
| dc.relation.references | R. Siv, I. Ardiyanto, and R. Hartanto, “3D human face reconstruction using depth sensor of Kinect 2,” in 2018 International Conference on Information and Communications Technology (ICOIACT), 2018, pp. 355–359. doi: 10.1109/ICOIACT.2018.8350702 | spa |
| dc.relation.references | H. Chen, W. Chen, and T. Gao, “Ground 3D Object Reconstruction Based on Multi-View 3D Occupancy Network using Satellite Remote Sensing Image,” in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 4826–4829. doi: 10.1109/IGARSS47720.2021.9554612 | spa |
| dc.relation.references | S. Kamyab, H. Taghadosi, and Z. Azimifar, “A Deep Learning Embedded System for 3D Human Face Shape Reconstruction From a Single Image,” in 2022 27th International Computer Conference, Computer Society of Iran (CSICC), 2022, pp. 1–6. doi: 10.1109/CSICC55295.2022.9780484 | spa |
| dc.rights | CC0 1.0 Universal | |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | spa |
| dc.rights.local | Abierto (Texto Completo) | spa |
| dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | |
| dc.subject.keyword | photogrammetry | spa |
| dc.subject.keyword | Kinect | spa |
| dc.subject.keyword | 3D reconstruction | spa |
| dc.subject.keyword | Python | spa |
| dc.subject.keyword | Ubuntu | spa |
| dc.subject.proposal | Fotogrametría | spa |
| dc.subject.proposal | Kinect | spa |
| dc.subject.proposal | Reconstrucción 3D | spa |
| dc.subject.proposal | Python | spa |
| dc.subject.proposal | Ubuntu | spa |
| dc.title | Sistema de reconstrucción de mosaicos con fusión de información de profundidad. | spa |
| dc.type | bachelor thesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | |
| dc.type.drive | info:eu-repo/semantics/bachelorThesis | |
| dc.type.local | Tesis de pregrado | spa |
| dc.type.version | info:eu-repo/semantics/acceptedVersion |
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