A Model Based Method for Characterization and Location of Curved Image Features

Thierry Blaszka 1 Rachid Deriche 1
1 ROBOTVIS - Computer Vision and Robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This report deals with the development of a parametric model based method to locate and characterize precisely important curved features such as ellipses and B-splines based curves. The method uses all the grey level information of the pixels contained within a window around the feature of interest and produces the complete parametric model that best approximates in a mean-square sense the observed grey level image intensities within the working area. Different solutions have been developed to reduce the computational time required by such approaches and a large number of experiments involving real images have been carried out in order to test and compare the reliability, the robustness and the efficiency of the different proposed approaches.
Type de document :
[Research Report] RR-2451, INRIA. 1994
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Soumis le : mercredi 24 mai 2006 - 14:48:40
Dernière modification le : samedi 27 janvier 2018 - 01:31:31
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  • HAL Id : inria-00074224, version 1



Thierry Blaszka, Rachid Deriche. A Model Based Method for Characterization and Location of Curved Image Features. [Research Report] RR-2451, INRIA. 1994. 〈inria-00074224〉



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