Determining image distortion and PBS (point of best symmetry) in digital images using straight line matrices

[EN] It is impossible to take accurate measurements in photogrammetry without first removing the distortion in images. This paper presents a methodology for correcting radial and tangential distortion and for determining the PBS (Point of Best Symmetry) without knowledge of the interior orientation...

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Detalles Bibliográficos
Autores: Herráez Boquera, José, Denia Rios, José Luís|||0000-0003-1562-3131, Navarro Esteve, Pablo José, Rodríguez Pereña, Jaime, Martín Sánchez, María Teresa
Tipo de recurso: artículo
Fecha de publicación:2016
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:10251/100410
Acceso en línea:https://riunet.upv.es/handle/10251/100410
Access Level:acceso abierto
Palabra clave:Image processing
Image analysis
Camera calibration
Plumb-lines
Distortion
Electron Microscopy Service of the UPV
INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA
EXPRESION GRAFICA ARQUITECTONICA
Descripción
Sumario:[EN] It is impossible to take accurate measurements in photogrammetry without first removing the distortion in images. This paper presents a methodology for correcting radial and tangential distortion and for determining the PBS (Point of Best Symmetry) without knowledge of the interior orientation parameters (IOPs). An analytical plumb-line calibration method is used, measuring only the coordinates of points on straight lines, regardless of the position and direction of these lines within the image. Points belonging to multiple lines can also be used since the effects on their X and Y coordinates are calculated independently. The results obtained on an image of a common scene, taken with a handheld non-metric camera, show a high degree of accuracy even with a minimum number of observables. And its application on a calibrated grid for engineering purposes with a semi-metric camera, results optimal even using a single image. (C) 2016 Elsevier Ltd. All rights reserved.

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