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Título:
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Autocalibration with the Minimum Number of Cameras with Known Pixel Shape
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Autores:
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Ronda Prieto, José Ignacio ;
Valdés Morales, Antonio ;
Gallego Bonet, Guillermo
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Tipo de documento:
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texto impreso
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Editorial:
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Springer, 2011
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Presentado
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Materia = Ciencias: Informática: Inteligencia artificial
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Tipo = Artículo
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Resumen:
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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.
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En línea:
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https://eprints.ucm.es/id/eprint/14615/1/ConicsThroughSixLines-preprint.pdf
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