RT Journal Article
T1 Recursive camera autocalibration with the Kalman filter
A1 Gallego Bonet, Guillermo
A1 Ronda Prieto, José Ignacio
A1 Valdés Morales, Antonio
A1 García, Narciso
AB Given 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.
PB IEEE
SN 1522-4880
YR 2007
FD 2007
LK https://hdl.handle.net/20.500.14352/50502
UL https://hdl.handle.net/20.500.14352/50502
LA eng
NO IEEE International Conference on Image Processing (ICIP 2007), SEP 16-19, 2007, San Antonio, TX
NO Gobierno de España
DS Docta Complutense
RD 18 abr 2025