期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：1992
卷号：XXIX Part B3
页码：469-475
出版社：Copernicus Publications
摘要：A common problem in computer vision, digital photogrammetry and cartography is to find the best match between a givenline and a set of candidate lines, based on characteristics of shape. Fourier descriptors have been used successfully to matchlines. In this paper we show how the best geometric fit of two matched lines is determined. The translation, scaling androtation parameters are found by matching the Fourier descriptors with a least- squares adjustment. A mean-square error canbe calculated after matching. This offers the advantage of a quantitative measure of goodness of fit. Experimental resultsusing synthetic data demonstrate the feasibility of the proposed algorithm.
