Camera calibration under optimal conditions

Different methods based on photogrammetry or self-calibration exist to calibrate intrinsic and extrinsic camera parameters and also for data pre- and post-processing. From a practical viewpoint, it is quite difficult to decide which calibration method gives accurate results and even whether any data...

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Detalles Bibliográficos
Autores: Ricolfe Viala, Carlos|||0000-0002-2980-4569, Sánchez Salmerón, Antonio José|||0000-0003-1896-5356
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/30973
Acceso en línea:https://riunet.upv.es/handle/10251/30973
Access Level:acceso abierto
Palabra clave:2D patterns
Calibration method
Calibration process
Camera calibration
Intrinsic and extrinsic camera parameters
Optimal conditions
Post processing
Self calibration
Cameras
Data handling
Optimization
Calibration
INGENIERIA DE SISTEMAS Y AUTOMATICA
Descripción
Sumario:Different methods based on photogrammetry or self-calibration exist to calibrate intrinsic and extrinsic camera parameters and also for data pre- and post-processing. From a practical viewpoint, it is quite difficult to decide which calibration method gives accurate results and even whether any data processing is necessary. This paper proposes a set of optimal conditions to resolve the calibration process accurately. The calibration method uses several images of a 2D pattern. Optimal conditions define the number of points and the number of images to resolve the calibration accurately, as well as positions and orientations from where images should be taken.