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During the last two decades a lot of researches have been done on the estimation of fundamental matrix, which represents the epipolar geometry between two un-calibrated perspective images. In this paper we proposed a new linear and iterative method for estimating the fundamental matrix. It preserves the noise model of of the observed image points, e.g. a(More)
In this paper, we consider the problem of finding the position of a point in space given its projections in multiple images taken by cameras with known calibration and pose. Ideally the 3D-point can be obtained as the intersection of multiple known rays in space. However, with noise the rays will not meet at a single 3D-point generally. Therefore, it is(More)
Bundle adjustment is one of the main tools used for multiple view reconstruction. It seeks to refine the estimate of the 3D scene and the view parameter that minimize a certain cost function, e.g. the overall reprojection error. In this paper we propose a new algorithm to simplify the computation of the reprojection error for multiple views. With this(More)
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