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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Journal ArticleDOI
Automatic Traffic Signs and Panels Inspection System Using Computer Vision
Alvaro Gonzalez,Miguel Angel Garrido,David Fernández Llorca,M. Gavilan,Jesús Postigo Fernández,Pablo F. Alcantarilla,I. Parra,Fernando Herranz,Luis M. Bergasa,Miguel Angel Sotelo,P Revenga de Toro +10 more
TL;DR: This paper describes an approach to the VISUAL Inspection of Signs and panEls (“VISUALISE”), which is an automatic inspection system, mounted onboard a vehicle, which performs inspection tasks at conventional driving speeds, and allows for an improvement in the awareness of the road signaling state.
Journal ArticleDOI
Driver drowsiness warning system using visual information for both diurnal and nocturnal illumination conditions
TL;DR: A new module for Advanced Driver Assistance System (ADAS) which deals with automatic driver drowsiness detection based on visual information and Artificial Intelligence is presented.
Journal ArticleDOI
Computer-aided detection of radiation-induced cerebral microbleeds on susceptibility-weighted MR images.
TL;DR: This method achieved heightened sensitivity and acceptable amount of false positives compared to prior methods without compromising computation speed, and its superior performance and simple, accelerated processing make it easily adaptable for detecting CMBs in the clinic and expandable to a wide array of neurological disorders.
Proceedings ArticleDOI
Peripheral tangible interaction by analytic design
Darren Edge,Alan F. Blackwell +1 more
TL;DR: This paper describes both the analytic approach to designing a personal desktop TUI supporting such an interaction style, and user responses to its analytically-inspired features during extended deployment in a real office context.
Journal ArticleDOI
Local isotropic phase symmetry measure for detection of beta cells and lymphocytes.
TL;DR: Experimental results show that the algorithm performs better than human experts for detection of two types of specific cells in histology images, cells in mouse pancreatic sections and lymphocytes in human breast tissue, and outperforms the best reported results for the latter.
References
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Use of the Hough transformation to detect lines and curves in pictures
Richard O. Duda,Peter E. Hart +1 more
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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.
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Finding circles by an array of accumulators
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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.