Relative image orientation for multiple-view terrain reconstruction

Relative orientation of images obtained by cameras located around a 3D terrain can be considered as an estimation of relative geometric distortions of the images. In this paper a rough affine approximation of image distortions is found by combining an exhaustive and Hooke-Jeeves directed unconstrained search for affine parameters that ensure the best match between the selected areas in the images. Experiments with natural multiple-view images show a feasibility of this approach.