Recursive estimation of camera motion from uncalibrated image sequences
We describe a method for estimating the motion and structure of a scene from a sequence of images taken with a camera whose geometric calibration parameters are unknown. The scheme is based upon a recursive motion estimation scheme, called the "essential filter", extended according to the epipolar geometric representation presented by Faugeras, Luong, and Maybank (see Proc. of the ECCV92, vol.588 of LNCS, Springer Verlag, 1992) in order to estimate the calibration parameters as well. The motion estimates can then be fed into any "structure from motion" module that processes motion error, in order to recover the structure of the scene.
© 1994 IEEE. Date of Current Version: 06 August 2002. Research funded by the California Institute of Technology, a scholarship from the University of Padova, a fellowship from the "A. Gini" Foundation, an AT&T Foundation Special Purpose grant, ONR grant N0014-93-1-0990, grant ASI-RS-103 from the Italian Space Agency and the NSF National Young Investigator Award (P.P.). This work is registered as CDS Technical Report CIT-CDS 94-005, California Institute of Technology, January 1994 - revised February 1994. We wish to thank Prof. Ruggero Frezza and Prof. Giorgio Picci for their constant support and suggestions.
Published - SOAicip94a.pdf