A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Precision Edge Contrast and Orientation Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deriving stopping rules for the probabilistic Hough transform by sequential analysis
Computer Vision and Image Understanding
Unbiased Estimation of Ellipses by Bootstrapping
IEEE Transactions on Pattern Analysis and Machine Intelligence
An extension to the randomized Hough transform exploiting connectivity
Pattern Recognition Letters
Guaranteed convergence of the Hough transform
Computer Vision and Image Understanding
A robust and accumulator-free ellipse hough transform
Proceedings of the 12th annual ACM international conference on Multimedia
The Distinctiveness of a Curve in a Parameterized Neighborhood: Extraction and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A visual system for real time detection of goal events during soccer matches
Computer Vision and Image Understanding
Fast curvilinear structure extraction and delineation using density estimation
Computer Vision and Image Understanding
Robust ellipse-specific fitting for real-time machine vision
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
A general framework for subspace detection in unordered multidimensional data
Pattern Recognition
Journal of Real-Time Image Processing
Camera and light calibration from reflections on a sphere
Computer Vision and Image Understanding
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Web Extra:Download software mentionedinarticleIn this paper we describe a new technique for detecting and characterizing ellipsoidal shapes automatically from any type of image. This technique is a single pass algorithm which can extract any group of ellipse parameters or characteristics which can be computed from those parameters without having to detect all five parameters for each ellipsoidal shape. Moreover, the method can explicitly incorporate any a priori knowledge the user may have concerning ellipse parameters. The method is based on techniques from Projective Geometry and on the Hough Transform. This technique can significantly reduce interpretation and computation time by automatically extracting only those features or geometric parameters of interest from images and making exact use of a priori information.