Least Squares Fitting of Circles

By Nikolai I. Chernov, Claire Lesort. Journal of Mathematical Imaging and Vision, 2005

313 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/c28f99117cb58e18d15289b8f99829cf8df0e732

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. G. Paterson
2. Ali A. Al-Sharadqah
3. Nikolai I. Chernov
4. Stuart J. Robbins

Citations in the corpus

• A simple test for the presence of multidomain behavior during paleointensity experiments (2011, methodology): “the data using a least squares approach [Taubin, 1991; Chernov and Lesort, 2005 ], where x represents the thermoremanent magnetization (TRM) gained, and y represents the natural remanent magnetization (NRM) remaining.”
• Error analysis for circle fitting algorithms (2009, methodology): “Fitting circles and circular arcs to observed points is one of the basic tasks in pattern recognition and computer vision, nuclear physics, and other areas [5, 9, 11, 23, 24, 27, 30, 32].”