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Descripción: We address the problem of the Euclidean upgrading of a projective calibration of a minimal set of cameras with known pixel shape and otherwise arbitrarily varying intrinsic and extrinsic parameters. To this purpose, we introduce as our basic geometric tool the six-line conic variety (SLCV), consisting in the set of planes intersecting six given lines of 3D space in points of a conic. We show that the set of solutions of the Euclidean upgrading problem for three cameras with known pixel shape can be parameterized in a computationally efficient. As a consequence, we propose an algorithm that performs a Euclidean upgrading with 5 ({theoretical minimum}) or more cameras with the knowledge of the pixel shape as the only constraint. We provide experiments with real images showing the good performance of the technique.
Autor(es): Ronda Prieto, José Ignacio - Valdés Morales, Antonio - Gallego Bonet, Guillermo -
Id.: 55088191
Idioma:
eng
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Versión: 1.0
Estado: Final
Tipo: application/pdf -
Palabras clave: Inteligencia artificial -
Tipo de recurso:
Artículo
- PeerReviewed
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Tipo de Interactividad: Expositivo
Nivel de Interactividad: muy bajo
Audiencia:
Estudiante
- Profesor
- Autor
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Estructura: Atomic
Coste: no
Copyright: sí
: info:eu-repo/semantics/openAccess
Formatos: application/pdf -
Requerimientos técnicos: Browser: Any -
Relación:
[References] http://eprints.ucm.es/14615/
Fecha de contribución: 08-mar-2012
Contacto:
Localización:
