Fitting a Second Degree Curve in the Presence of Error

Michael Werman; Z. Geyzel

doi:10.1109/34.368167

Fitting a Second Degree Curve in the Presence of Error

Michael Werman, Z. Geyzel

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

This correspondence presents a statistically sound, simple and, fast method to estimate the parameters of a second degree curve from a set of noisy points that originated from the curve.

Original language	English
Pages (from-to)	207-211
Number of pages	5
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	17
Issue number	2
DOIs	https://doi.org/10.1109/34.368167
State	Published - Feb 1995

Keywords

Pattern analysis
curve fitting
low-level processing
perceptual grouping

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10.1109/34.368167

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abstract = "This correspondence presents a statistically sound, simple and, fast method to estimate the parameters of a second degree curve from a set of noisy points that originated from the curve.",

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Fitting a Second Degree Curve in the Presence of Error

Abstract

Keywords

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