Title :
A hyperquadric model for 2-D and 3-D data fitting
Author :
Cohen, Isaac ; Cohen, Laurent D.
Author_Institution :
Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France
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
Keywords :
image representation; 2D data fitting; 3D data fitting; energy minimization; global shape properties; hyperquadric model; image edge points; numerical parameterization; numerical resolution; shape description; shape representation; Minimization methods; Shape; Surface fitting;
Conference_Titel :
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6270-0
DOI :
10.1109/ICPR.1994.576961