Robust Ellipse-Specific Fitting for Real-Time Machine Vision

Autor:	E.S. Maini
Rok vydání:	2005
Předmět:	Robustness (computer science) Iterative method Scatter matrix Conic section Machine vision Computer science Image processing Ellipse Condition number Least squares Algorithm Numerical stability
Zdroj:	Brain, Vision, and Artificial Intelligence ISBN: 9783540292821 BVAI
DOI:	10.1007/11565123_31
Popis:	This paper presents a robust and non-iterative algorithm for the least-square fitting of ellipses to scattered data. In this work, we undertake a critical analysis of a previous reported work [1] and we propose a novel approach that preserves the advantages while overcomes the major limitations and drawbacks. The modest increase of the computational burden introduced by this method is justified by the achievement of an excellent numerical stability. Furthermore the method is simple and accurate and can be implemented with fixed time of computation. These characteristics coupled to its robustness and specificity makes the algorithm well-suited for applications requiring real-time machine vision.
Databáze:	OpenAIRE
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