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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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Journal ArticleDOI

Lipids mediate supramolecular outer membrane protein assembly in bacteria

TL;DR: In this article , photoactivatable cross-linking into the Escherichia coli outer membrane was used to uncover the basis for OMP clustering in vivo, revealing OMP-lipid-OMP complexes to be the basic unit of supramolecular OMP assembly that, by extending across the entire cell surface, couples the requisite multifunctionality of the OM to its stability and impermeability.
Proceedings Article

Traffic sign classification using error correcting techniques

TL;DR: This paper introduces a classification technique for traffic signs recognition by means of Error Correcting Output Codes, and classify a wide set of traffic signs types, obtaining high success in adverse conditions.
Proceedings ArticleDOI

A new high precision eye center localization technique

TL;DR: The results obtained from the application of the proposed method to the most challenging face databases show that the technique outperforms in accuracy most of the state of the art techniques.
Journal ArticleDOI

Ensemble of shape descriptors for shape retrieval and classification

TL;DR: This work proposes an ensemble of approaches using the weighted sum rule that is based on a set of widely used shape descriptors inner-distanceshape context, shape context, and height functions, and produces a general-purpose shape classification system.
Proceedings ArticleDOI

A Sign Reading Driver Assistance System Using Eye Gaze

TL;DR: This paper presents a complete system that reads speed signs in real-time, compares the driver gaze, and provides immediate feedback if the sign has been missed by the driver and improves recognition of signs through image enhancement.
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.