AN ALGORITHM FOR OBJECT RECONSTRUCTION WITHOUT INTERIOR ORIENTATION

This paper presents a novel algorithm for object reconstruction withou t interior orientation. First we introduce the Thompson and Longuet-Hi ggins equation as well as the fundamental matrix. After defining the a ffine model, we show that some of its components can be linearly withd rawn from the fundamental matrix, which in turn is linearly determined up to a scale factor by minimal eight image correspondences. The obje ct reconstruction is then performed linearly via a 3D affine transform ation. Unlike the well-known DLT algorithm where minimum six known poi nts are required on each image of a stereopair, our algorithm requires that only four of them appear on the second image. Zn addition to an accuracy fully compatible with the DLT algorithm, tests with an aerial stereopair also show the robustness of our algorithm, both to the con figuration of known points and to the image deformation.