Journal ArticleDOI
Fast radial symmetry for detecting points of interest
G. Loy,Alexander Zelinsky +1 more
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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.read more
Citations
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Proceedings ArticleDOI
A Prescreener for 3D Face Recognition Using Radial Symmetry and the Hausdorff Fraction
TL;DR: This work uses both radial symmetry and shape to extract five features of interest on 3D range images of faces to determine a very small subset of discriminating points which serve as input to a prescreening algorithm based on a Hausdorff fraction.
Journal ArticleDOI
On visual gaze tracking based on a single low cost camera
TL;DR: The results demonstrate that the proposed framework is able to track gaze with good accuracy, consolidating the use of inexpensive equipment and techniques towards an ever-expanding range of gaze tracking applications.
Journal ArticleDOI
Segmentation of cell nuclei in fluorescence microscopy images: An integrated framework using level set segmentation and touching-cell splitting
TL;DR: An integrated framework consisting of a new level sets based segmentation algorithm and a touching-cell splitting method is proposed and a new region-based active contour model in a variational level set formulation is developed.
Journal ArticleDOI
Improved small blob detection in 3D images using jointly constrained deep learning and Hessian analysis.
TL;DR: A joint constraint blob detector from U-Net, a deep learning model, and Hessian analysis is proposed to overcome problems and identify true blobs from noisy medical images and outperforms four comparing methods on recall on both precision and F-score.
References
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Journal ArticleDOI
Use of the Hough transformation to detect lines and curves in pictures
Richard O. Duda,Peter E. Hart +1 more
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
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
C.M. Privitera,L.W. Stark +1 more
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.