Extracting geometric primitives
CVGIP: Image Understanding
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
Analysing error of fit functions for ellipses
Pattern Recognition Letters
Ellipse fitting using orthogonal hyperbolae and Stirling's oval
Graphical Models and Image Processing
Direct Least Square Fitting of Ellipses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Further five-point fit ellipse fitting
Graphical Models and Image Processing
Geometric Camera Calibration Using Circular Control Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Primitive Extraction Using a Genetic Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Measuring shape: ellipticity, rectangularity, and triangularity
Machine Vision and Applications
Estimating the eye gaze from one eye
Computer Vision and Image Understanding - Special issue on eye detection and tracking
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Harker and O'Leary's [Harker, M., O'Leary, P., 2006. First order geometric distance (the myth of Sampsonus). British Machine Vision Conf., 87-96] recently proposed a new distance measure for conics. This paper compares its accuracy and effectiveness against several other error of fits (EOFs) for ellipses using: (1) visualisations of the distortions with respect to the Euclidean distance; (2) a set of evaluation measures specifically designed for assessing ellipse EOFs [Rosin, P.L., 1996a. Analysing error of fit functions for ellipses. Pattern Recognition Lett. 17, 1461-1470; Rosin, P.L., 1996b. Assessing error of fit functions for ellipses. Graphical Models Image Process. 58, 494-502]; (3) the accuracy of LMedS ellipse fitting using the various EOFs.