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<p><b>Abstract</b>—The determination of invariant characteristics is an important problem in pattern recognition. Many invariants are known which have been obtained by the method of <it>normalization</it>. In this paper, we introduce a new approach of fitting planar objects by primitives using the method of normalization (for instance: fitting by lines, triangles, rectangles, circles, ellipses, super-quadrics, etc.). Objects and primitives are described by features, for example, by moments. The main advantage is that the normalization process provides us with a canonical frame of the object and the primitive. Therefore, the fit is invariant with respect to the transformation used. By this new method, an analytical fitting of non-analytical objects can be achieved, for example, fitting by polygons. Furthermore, the numerical effort can be reduced drastically by normalizing of the object and the primitive.</p>
Invariant fitting, normalization, planar objects, geometrical primitives, invariant features, affine transformations, canonical frame, moments.
Klaus Voss, Herbert Suesse, "Invariant Fitting of Planar Objects by Primitives", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 19, no. , pp. 80-84, January 1997, doi:10.1109/34.566815
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