We present an original multiple views method to perform a robust and detailed 3D reconstruction of a static scene from several images taken by one or more uncalibrated cameras. Making use only of fundamental matrices we are able to combine even heterogeneous video and/or photo sequences. In particular we give a characterization of camera matrices space consistent with a given fundamental matrix and provide a straightforward bottom-up method, linear in most practical uses, to fulfil the 3D reconstruction. We describe shortly how to integrate this procedure in a standard vision system following an incremental approach and show some interesting tests.
An approach to projective reconstruction from multiple views / Alessandro, Carrano; Valerio, D'Angelo; Sean R. F., Fanello; Ilaria, Gori; PIRRI ARDIZZONE, Maria Fiora; Alessandro, Rudi. - STAMPA. - 678:(2010), pp. 269-276. (Intervento presentato al convegno 7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2010 tenutosi a Innsbruck nel 17 February 2010 through 19 February 2010).
An approach to projective reconstruction from multiple views
PIRRI ARDIZZONE, Maria Fiora;
2010
Abstract
We present an original multiple views method to perform a robust and detailed 3D reconstruction of a static scene from several images taken by one or more uncalibrated cameras. Making use only of fundamental matrices we are able to combine even heterogeneous video and/or photo sequences. In particular we give a characterization of camera matrices space consistent with a given fundamental matrix and provide a straightforward bottom-up method, linear in most practical uses, to fulfil the 3D reconstruction. We describe shortly how to integrate this procedure in a standard vision system following an incremental approach and show some interesting tests.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
