Gallego Bonet, GuillermoRonda Prieto, José IgnacioValdés Morales, AntonioGarcía, Narciso2023-06-202023-06-2020071522-4880https://hdl.handle.net/20.500.14352/50502IEEE International Conference on Image Processing (ICIP 2007), SEP 16-19, 2007, San Antonio, TXGiven a projective reconstruction of a 3D scene, we address the problem of recovering the Euclidean structure of the scene in a recursive way. This leads to the application of Kalman filtering to the problem of camera autocalibration and to new algorithms for the autocalibration of cameras with varying parameters. This has benefits in saving memory and computational effort, and obtaining faster updates of the 3D Euclidean structure of the scene under consideration.engjournal articlehttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4379802open access514004.8calibrationKalman filteringcamerasLenguajes de programaciónGeometría1203.23 Lenguajes de Programación1204 Geometría