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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Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association
TL;DR: It is shown that for grape wines, a crop presenting large variability in shape, color, size and compactness, grape clusters can be successfully detected, segmented and tracked using state-of-the-art CNNs.
Journal ArticleDOI
Kinetics of dCas9 target search in Escherichia coli
Daniel Jones,Prune Leroy,Cecilia Unoson,David Fange,Vladimir Ćurić,Michael J. Lawson,Johan Elf +6 more
TL;DR: The search mechanisms of the catalytically inactive Cas9 (dCas9) in living Escherichia coli are studied by combining single-molecule fluorescence microscopy and bulk restriction-protection assays to show that it takes 6 hours to find its target sequence, with each potential target bound for less than 30 ms.
Journal ArticleDOI
Research Advances and Challenges of Autonomous and Connected Ground Vehicles
TL;DR: A representative architecture of CAVs is introduced and the latest research advances, methods, and algorithms for sensing, perception, planning, and control of CAV are surveyed and their significant research issues enumerated.
Journal ArticleDOI
Driver Inattention Detection based on Eye Gaze-Road Event Correlation
Luke Fletcher,Alexander Zelinsky +1 more
TL;DR: It is shown that it is possible to detect missed road events and warn the driver appropriately, and a prototype system capable of estimating the driver's observations and detecting driver inattentiveness is presented.
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Precedence of the eye region in neural processing of faces
Elias B. Issa,James J. DiCarlo +1 more
TL;DR: Bottom-up face processing is relatively local and linearly integrates features—consistent with parts-based models—grounding investigation of how the presence of a face is first inferred in the IT face processing hierarchy.
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.