Accurate parameter estimation of quadratic curves from grey-level images
CVGIP: Image Understanding
Geometric computation for machine vision
Geometric computation for machine vision
Unbiased Estimation of Ellipses by Bootstrapping
IEEE Transactions on Pattern Analysis and Machine Intelligence
A buyer's guide to conic fitting
BMVC '95 Proceedings of the 6th British conference on Machine vision (Vol. 2)
Assessing error of fit functions for ellipses
Graphical Models and Image Processing
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Camera Calibration Using Circular Control Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Statistical Bias of Conic Fitting and Renormalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Direct Method for Visual Scene Reconstruction
VSR '95 Proceedings of the IEEE Workshop on Representation of Visual Scenes
Moment and Curvature Preserving Technique for Accurate Ellipse Boundary Detection
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Ellipse Fitting with Hyperaccuracy
IEICE - Transactions on Information and Systems
A Simple Operator for Very Precise Estimation of Ellipses
CRV '07 Proceedings of the Fourth Canadian Conference on Computer and Robot Vision
A parameterless line segment and elliptical arc detector with enhanced ellipse fitting
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Flexible calibration of structured-light systems projecting point patterns
Computer Vision and Image Understanding
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This paper presents a simple linear operator that accurately estimates the parameters of ellipse features. Based on the dual conic model, the operator directly exploits the raw gradient information in the neighborhood of an ellipse’s boundary, thus avoiding the intermediate stage of precisely extracting individual edge points. Moreover, under the dual representation, the dual conic can easily be constrained to a dual ellipse when minimizing the algebraic distance. The new operator is compared to other estimation approaches, including those limited to the center position, in simulation as well as in real situation experiments.