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Journal ArticleDOI

Fast radial symmetry for detecting points of interest

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TLDR
A new transform is presented that utilizes local radial symmetry to highlight points of interest within a scene and is seen to offer equal or superior performance to contemporary techniques at a relatively low-computational cost.
Abstract
A new transform is presented that utilizes local radial symmetry to highlight points of interest within a scene. Its low-computational complexity and fast runtimes makes this method well-suited for real-time vision applications. The performance of the transform is demonstrated on a wide variety of images and compared with leading techniques from the literature. Both as a facial feature detector and as a generic region of interest detector the new transform is seen to offer equal or superior performance to contemporary techniques at a relatively low-computational cost. A real-time implementation of the transform is presented running at over 60 frames per second on a standard Pentium III PC.

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Citations
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Patent

Method of characterising a t cell

TL;DR: In this article, a method of classifying T cells as high or low PD-1 expressing through comparison of the expression level of PD1 in the T cells with a threshold determined in accordance with the invention is described.
Proceedings ArticleDOI

The machine recognition of Chinese ancient copper coin

TL;DR: A method which can be used to recognize Chinese ancient copper coins efficiently is presented, which is very efficient and could be used in the customs export examination as a common procedure.
Book ChapterDOI

Robust Implementation for Circular Traffic Sign Recognition

TL;DR: A robust circular traffic sign detection approach consisting of a color enhancement method which utilizes the nature of Lab color space and a circle detector based on improved constrained fast radial symmetry transform, which outperforms existing approaches in terms of classification accuracy.
Patent

Circle segment and form detection

TL;DR: In this paper, a Vorrichtung zur Kreissegmentdetektion is ausgebildet, um Graden zu detektieren, so dass Gradientenvektors erhalten werden and aus-gebracht, um die Gradenzvektoren with jeweiligen Radien zu skalieren and resultierende Endpointte der jeweILigen, skalierten Gradentenvectors in den den den this paper zugeordneten Akkumulator
References
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Journal ArticleDOI

Use of the Hough transformation to detect lines and curves in pictures

TL;DR: It is pointed out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further, and how the method can be used for more general curve fitting.

Image Features From Phase Congruency

Peter Kovesi
TL;DR: Videre: Journal of Computer Vision Research is a quarterly journal published electronically on the Internet by The MIT Press, Cambridge, Massachusetts, 02142 and prices subject to change without notice.
Journal ArticleDOI

Finding circles by an array of accumulators

TL;DR: This procedure is an extension and improvement of the circle-finding concept sketched by Duda and Hart as an extension of the Hough straight-line finder.
Journal ArticleDOI

Algorithms for defining visual regions-of-interest: comparison with eye fixations

TL;DR: This paper investigates and develops a methodology that serves to automatically identify a subset of aROIs (algorithmically detected ROIs) using different image processing algorithms (IPAs), and appropriate clustering procedures, and compares hROIs with hROI as a criterion for evaluating and selecting bottom-up, context-free algorithms.
Journal ArticleDOI

Context-free attentional operators: the generalized symmetry transform

TL;DR: An attention operator based on the intuitive notion of symmetry, which generalized many of the existing methods of detecting regions of interest is presented, a low-level operator that can be applied successfully without a priori knowledge of the world.