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1. A hyperquadric model for 2-D and 3-D data fitting
Cohen, I.; Cohen, L.D.;
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Volume 2,  9-13 Oct. 1994 Page(s):403 - 405 vol.2
Abstract:

We present in this paper some improvements to the hyperquadric model allowing an efficient representation of the shape through a numerical parameterization and an energy minimization approach for data fitting. This last feature gives an accurate location of the image edge points independently of the implicit description of the shape. The advantage of our model is that it describes global shape properties through a unique implicit equation yielding a representation of the shape by means of its parameters, independently of the chosen numerical resolution
Abstract | Full Text: PDF(376 KB)    IEEE CNF
 
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