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
In-depth tissue profiling using multiplexed immunohistochemical consecutive staining on single slide
Romain Remark,Taha Merghoub,Niels Grabe,Geert Litjens,Diane Damotte,Jedd D. Wolchok,Miriam Merad,Sacha Gnjatic +7 more
TL;DR: A sample-sparing, highly multiplexed immunohistochemistry technique based on iterative cycles of tagging, image scanning, and destaining of chromogenic substrate on a single slide is developed, which democratizes access to high-dimensional Immunohistochemical analyses by capturing the complexity of the immunome using routine pathology standards.
Journal ArticleDOI
Traffic sign detection and recognition based on random forests
TL;DR: A new traffic sign detection and recognition method, which is achieved in three main steps, to use invariant geometric moments to classify shapes instead of machine learning algorithms and the results obtained are satisfactory when compared to the state-of-the-art methods.
Journal ArticleDOI
Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison.
Tomas Vicar,Tomas Vicar,Jan Balvan,Jan Balvan,Josef Jaroš,Florian Jug,Radim Kolar,Michal Masarik,Michal Masarik,Jaromír Gumulec,Jaromír Gumulec +10 more
TL;DR: It is demonstrated that image reconstruction step allows the use of segmentation methods not originally intended for label-free imaging and validated suitable set of methods for each microscopy modality.
Journal ArticleDOI
Correlating driver gaze with the road scene for driver assistance systems
TL;DR: This paper presents a complete system that reads speed signs in real-time, compares the driver's gaze, and provides immediate feedback if it appears the sign has been missed by the driver.
Proceedings ArticleDOI
Fast traffic sign detection and recognition under changing lighting conditions
TL;DR: In this paper, a system for traffic sign detection and classification is presented, which is intended for both prohibition and obligation circular signs and for advertising triangular ones and the average processing time is 30 ms per frame, what makes the system a good approach to work in real time conditions.
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.
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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.