Title :
Recognizing conic shape: a nonlinear iterative approach
Author :
Kundu, Amlan ; Bahl, Paramvir
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Buffalo, NY, USA
Abstract :
An algorithm for fitting a conic shape to a set of given data is described. By a modified medial axis transform, described in the paper, the algorithm first determines the orientation of the shape such that the shape could be rotated to align its axis with the X-axis. The standard nonlinear equations of the conic, both closed and open, are then fitted using a linearized least square approach. Some experimental results are provided indicating the convergence and good performance of the algorithm
Keywords :
iterative methods; least squares approximations; pattern recognition; conic shape; convergence; least squares approximations; linearized least square approach; modified medial axis transform; nonlinear iterative approach; orientation; pattern recognition; Computer vision; Convergence; Image processing; Image recognition; Iterative algorithms; Iterative methods; Nonlinear equations; Scattering; Shape; Transforms;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28362
