An introduction to NURBS: with historical perspective
An introduction to NURBS: with historical perspective
Computer Vision
Shape representation and shape coefficients via method of Hurwitz-Radon matrices
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Data extrapolation and decision making via method of Hurwitz-Radon matrices
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
Polygonal and polyhedral contour reconstruction in computed tomography
IEEE Transactions on Image Processing
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A method of Hurwitz-Radon Matrices (MHR) is proposed to be used in parametrization and interpolation of contours in the plane. Suitable parametrization leads to curvature calculations. Points with local maximum curvature are treated as feature points in object recognition and image analysis. The matrices are skew-symmetric and possess columns composed of orthogonal vectors. The operator of Hurwitz-Radon (OHR), built from these matrices, is described. It is shown how to create the orthogonal OHR and how to use it in a process of contour parametrization and curvature calculation.