An algorithm for object reconstruction without interior orientation |
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| Authors: | J Shan |
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| Institution: | Department of Geodetic Science, Stuttgart University, Keplerstr. 11, D-70174 Stuttgart, Germany |
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| Abstract: | This paper presents a novel algorithm for object reconstruction without interior orientation. First we introduce the Thompson and Longuet-Higgins equation as well as the fundamental matrix. After defining the affine model, we show that some of its components can be linearly withdrawn from the findamental matrix, which in turn is linearly determined up to a scale factor by minimal eight image correspondences. The object reconstruction is then performed linearly via a 3D affine transformation. Unlike the well-known DLT algorithm where minimum six known points are required on each image of a stereopair, our algorithm requires that only four of them appear on the second image. In 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 configuration of known points and to the image deformation. |
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