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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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Book ChapterDOI

Using Local Symmetry for Landmark Selection

TL;DR: This paper proposes the use of local symmetry to select interest points in visual Simultaneous Localization And Mapping methods and shows that interest points selected using symmetry are more robust to noise and contrast manipulations, have a slightly better repeatability, and result in better overall SLAM performance.

Computational intelligence techniques forreflections identification iniris biometric images

Fabio Scotti
TL;DR: A set of features which can be extracted from the iris image and that can be effectively used to achieve an accurate identification of the reflection position using a neural network is proposed.
Book ChapterDOI

Moment Invariants for Image Symmetry Estimation and Detection

TL;DR: In this article, a general framework of statistical aspects of the problem of understanding and a description of image symmetries, by utilizing the theory of moment invariants, is presented.
Dissertation

Application of image processing methodologies for fruit detection and analysis

TL;DR: In this paper, a set of treballs d'investigacio centrats en l'automatitzacio d'operacions agricoles mitjancant l'aplicacio de diverses tecniques de processament d'imatge.
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.