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Muestreo de imágenes de rango en el espacio de variación de la orientación
dc.contributor.author | Gómez Mendoza, Juan Bernardo | spa |
dc.date.accessioned | 2020-10-27T00:21:04Z | |
dc.date.available | 2020-10-27T00:21:04Z | |
dc.date.issued | 2006-12-01 | |
dc.identifier.issn | 2539-2115 | |
dc.identifier.issn | 1657-2831 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12749/9007 | |
dc.description.abstract | La información proveniente de un conjunto de imágenes de rango puede utilizarse para producir modelos computacionales en 3D de la escena. Sin embargo, cada imagen esta referida a las coordenadas de la cámara en el momento de la adquisición. Encontrar un conjunto de transformaciones tales que, aplicadas a las imágenes, lleven el conjunto a un sistema coordenado común, es usualmente denominado registro de imágenes de rango. Uno de los grandes problemas en dicho proceso está relacionado con datos seleccionados de forma arbitraria y que no son relevantes en el registro. En éste artículo se propone un nuevo método de muestreo, basado en el uso de la información local de variación de la orientación (curvatura). Se muestra que, el rendimiento del algoritmo es adecuado en comparación con las técnicas habituales en la reconstrucción de modelos a partir de imágenes de rango.Palabras claves: Imágenes de rango, métodos de muestreo, registro. | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | spa |
dc.publisher | Universidad Autónoma de Bucaramanga UNAB | |
dc.relation | https://revistas.unab.edu.co/index.php/rcc/article/view/1051/1024 | |
dc.relation.uri | https://revistas.unab.edu.co/index.php/rcc/article/view/1051 | |
dc.relation.uri | http://hdl.handle.net/20.500.12749/20387 | spa |
dc.rights | Derechos de autor 2006 Revista Colombiana de Computación | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
dc.source | Revista Colombiana de Computación; Vol. 7 Núm. 2 (2006): Revista Colombiana de Computación; 83-94 | |
dc.subject | Innovaciones tecnológicas | |
dc.subject | Ciencia de los computadores | |
dc.subject | Desarrollo de tecnología | |
dc.subject | Ingeniería de sistemas | |
dc.subject | Investigaciones | |
dc.subject | Tecnologías de la información y las comunicaciones | |
dc.subject | TIC´s | |
dc.title | Muestreo de imágenes de rango en el espacio de variación de la orientación | spa |
dc.title.translated | Range Image Sampling in Orientation Variation Space | eng |
dc.type.driver | info:eu-repo/semantics/article | |
dc.type.local | Artículo | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
dc.subject.keywords | Technological innovations | eng |
dc.subject.keywords | Computer science | eng |
dc.subject.keywords | Technology development | eng |
dc.subject.keywords | Systems engineering | eng |
dc.subject.keywords | Investigations | eng |
dc.subject.keywords | Information and communication technologies | eng |
dc.subject.keywords | ICT's | eng |
dc.identifier.instname | instname:Universidad Autónoma de Bucaramanga UNAB | spa |
dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
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dc.relation.references | L. Silva, O. Bellon, and K. Boyer. Enhanced, robust genetic algorithms for multiview range image registration. In Proceedings of 3DIM, 2003. | |
dc.relation.references | G. Turk and M. Levoy. Zippering polygon meshes from range images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994. | |
dc.contributor.cvlac | Gómez Mendoza, Juan Bernardo [0000173398] | spa |
dc.contributor.googlescholar | Gómez Mendoza, Juan Bernardo [7x-Ax4YAAAAJ] | spa |
dc.contributor.orcid | Gómez Mendoza, Juan Bernardo [0000-0001-7730-8167] | spa |
dc.contributor.researchgate | Gómez Mendoza, Juan Bernardo [Juan-Gomez-Mendoza] | spa |
dc.subject.lemb | Ingeniería de sistemas | spa |
dc.subject.lemb | Investigación | spa |
dc.subject.lemb | Ciencias de la computación | spa |
dc.subject.lemb | TIC | spa |
dc.identifier.repourl | repourl:https://repository.unab.edu.co | |
dc.description.abstractenglish | The information provided by a set of range images can be used in order to produce a computational 3D model of the scene. However, each image is refered to the camera coordinates at its acquisition. To fi nd a set of transformations that takes the whole set into a common coordinate system is what we usually call range images registration. One of the mayor problems of this process is produced by arbitrary data that is not relevant for the registration. In this paper I propose a new method of data sampling in which local variation in orientation (curvature) is used. I show that the proposed algorithm performs well against the ones typically used in model reconstruction from range images. | eng |
dc.subject.proposal | Imágenes de rango | spa |
dc.subject.proposal | Métodos de muestreo | spa |
dc.subject.proposal | Registro | spa |
dc.subject.proposal | Computación en 3D | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/CJournalArticle | |
dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 2.5 Colombia | * |