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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

Exploratory mapping of structures controlling mineralization in Southeast Nigeria using high resolution airborne magnetic data

TL;DR: In this article, high-resolution airborne magnetic data of some regions of Southeast Nigeria were analyzed to map structures controlling mineralization, such data can be used for mineral assessment programs, surficial geologic boundaries, hydrocarbon exploration at reconnaissance stage, mapping of hydrothermally altered rock zones and geologic structures.
Journal ArticleDOI

Design of efficient embedded system for road sign recognition

TL;DR: An embedded real-time system for automatic traffic sign recognition that segmentation task of an acquired scene is processed in the HSV color space and the recognition process is performed by using the Oriented fast-and-Rotated Brief features.
Book ChapterDOI

Real-Time Regular Polygonal Sign Detection

TL;DR: A new adaptation of the regular polygon detection algorithm for real-time road sign detection for autonomous vehicles that is robust to partial occlusion and fading, and insensitive to lighting conditions is presented.
Proceedings ArticleDOI

Perceptual organization of radial symmetries

Qing Yang, +1 more
TL;DR: A new approach based on iterative voting along the gradient direction is introduced for inferring the center of mass for objects demonstrating radial symmetries that are not limited to convex geometries.
Book ChapterDOI

Linear radial patterns characterization for automatic detection of tonic intestinal contractions

TL;DR: This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image, in the specific case of automatic detection of tonic contractions in video capsule endoscopy.
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.