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• W127966987 abstract "A common problem in computer vision, digital photogrammetry and cartography is to find the best match between a given line and a set of candidate lines, based on characteristics of shape. Fourier descriptors have been used successfully to match lines. In this paper we show how the best geometric fit of two matched lines is determined. The translation, scaling and rotation parameters are found by matching the Fourier descriptors with a leastsquares adjustment. A mean-square error can be calculated after matching. This offers the advantage of a quantitative measure of goodness of fit. Experimental results using synthetic data demonstrate the feasibility of the proposed algorithm." @default.
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• W127966987 date "1992-01-01" @default.
• W127966987 modified "2023-09-23" @default.
• W127966987 title "A least-squares approach to matching lines with Fourier descriptors" @default.
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