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ORCID: https://orcid.org/0000-0001-6910-4359
(2008).
Improving RANSAC for Fast Landmark Recognition. Workshop on Visual Localization for Mobile Platforms.
En: "Computer Vision and Pattern Recognition Workshops 2008, CVPR Workshops 2008.", 24/06/2008-28/06/2008, Alaska, USA. ISBN 978-1-4244-2340-8. pp..
https://doi.org/10.1109/CVPRW.2008.4563138.
| Título: | Improving RANSAC for Fast Landmark Recognition. Workshop on Visual Localization for Mobile Platforms |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | Computer Vision and Pattern Recognition Workshops 2008, CVPR Workshops 2008. |
| Fechas del Evento: | 24/06/2008-28/06/2008 |
| Lugar del Evento: | Alaska, USA |
| Título del Libro: | Proceedings of the Computer Vision and Pattern Recognition Workshops 2008, CVPR Workshops 2008 |
| Fecha: | 2008 |
| ISBN: | 978-1-4244-2340-8 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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We introduce a procedure for recognizing and locating planar landmarks for mobile robot navigation, based in the detection and recognition of a set of interest points. We use RANSAC for fitting a homography and locating the land mark. Our main contribution is the introduction of a geometrical constraint that reduces the number of RANSAC iterations by discarding minimal subsets. In the experiments conducted we conclude that this constraint increases RANSAC performance by reducing in about 35% and 75%the number of iterations for affine and projective cameras, respectively.
| ID de Registro: | 4831 |
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| Identificador DC: | https://oa.upm.es/4831/ |
| Identificador OAI: | oai:oa.upm.es:4831 |
| Identificador DOI: | 10.1109/CVPRW.2008.4563138 |
| URL Oficial: | http://ieeexplore.ieee.org/search/srchabstract.jsp... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 05 Nov 2010 11:33 |
| Ultima Modificación: | 20 Abr 2016 13:53 |
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