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- W2357024566 abstract "Two perspective images of single scene taken by uncalibrated perspective cameras are related by the fundamental matrix, which is the key to many problems of computer vision. This paper addresses the problem of computing the fundamental matrix using a new method. Sampson weighting, which represents the sum of square of the algebraic residuals divided by their standard deviations, is adapted to improve the accuracy of the method, and the iterative method is called for the condition that the noise is not Gaussianly distributed. Experiments show that the method is robust and precise even if there is great noise." @default.
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- W2357024566 title "A New Robust Method for Computing the Fundamental Matrix" @default.
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