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. ( 7th IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2010 Innsbruck 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.
