Cylindrical sensor calibration using lines

This paper deals with the calibration of a cylindric omnidirectional imaging system, based on a rotating 2048 pixels linear camera, which provides high definition panoramas. The two-steps algorithm relies on line segments projections, which are sinusoidal curves. Moreover, Plucker formalism makes it possible to linearize the full cylindrical model. Calibration data are provided by a sinusoid detection step, based on a "dual" Hough transform. Results obtained from the first process are used to evaluate one of the intrinsic, the other one being determined by a linear minimization criterion in the dual space.