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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Book ChapterDOI
Consensus Graphs for Symmetry Plane Estimation
TL;DR: A new weighted association graph is introduced which relates the main symmetry planes of 3D objects to large sets of tightly coupled vertices and allows us to cast symmetry detection to a classical pairwise clustering problem, which is solved using the very effective Dominant Sets framework.
Journal ArticleDOI
Toward the design of a low cost vision-based gaze tracker for interaction skill acquisition
TL;DR: The proposed gaze tracker is a low cost head mounted system based on vision technology ≥RQO\¥ and the hardware specifications and the status of the gaze tracker design are presented; the dedicated algorithm for eye detection and tracking, and an improvement of G. Zelinsky model for eye movement predication during the search of a predefined object in an image are outlined.
Monocular Golf Ball Tracking and Size Estimation
TL;DR: A tracking algorithm is proposed where, given a known ball position, a search window is used, adapting for ball speed in the image plane, ballsize and previous window size, and various pre-processing methods are discussed, including deinterlacing and an approximate background subtraction method.
A new radial symmetry measure applied to photogrammetry
TL;DR: In this paper, a new measure for radial symmetry and an algorithm for its computation are presented, which identifies radially symmetric blobs as locations with contributions from all orientations at some scale.
Mr phase and susceptibility-weighted imaging of iron deposition in multiple sclerosis and radiation-treated brain tumors
TL;DR: This dissertation reports a serial phase imaging study of chronic MS lesions in which the phase contrast, presumed due to iron deposition in the lesions, was investigated longitudinally and an automated CMB detection algorithm is developed, which is able to identify CMBs on images from SWI with a high sensitivity.
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.