Abstract
Industrial applications like robot-aided welding, automated inspection, and 3D measurements require 3D points to be captured from the surfaces of objects and processed to calculate the information-of-interest. The lack of research focused on fitting ellipses to 3D laser profile data, and the intrinsic features that distinguish it from 2D digital images, motivated us to conduct a comparative study involving the most popular ellipse-fitting methods. After describing our laser profile scanning system, and a survey of ellipse-fitting methods, we compare, using extensive experiments performed with synthetic and real data, the fitting algorithms in terms of stability and accuracy with respect to a variety of factors. The estimate obtained with the best method is used to initialize a robust non-linear iterative ellipse fitting method. Finally, we describe a novel method for the construction of cylindrical surfaces from estimated elliptical sections.
| Original language | British English |
|---|---|
| Pages (from-to) | 1242-1259 |
| Number of pages | 18 |
| Journal | Optics and Lasers in Engineering |
| Volume | 50 |
| Issue number | 9 |
| DOIs | |
| State | Published - Sep 2012 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Curve fitting
- Ellipse fitting
- Industrial robot vision system
- Laser profile scanner
- Pattern analysis
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