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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Multimedia Semantics: Interactions Between Content and Community Research on pattern analysis and monitoring of web-based social communities is reviewed in this paper; the authors study how media-rich social networks provide insight into multimedia research problems.
TL;DR: This article studies how media-rich social networks provide additional insight into familiar multimedia research problems, including tagging and video ranking, and advances the idea that the contextual and social aspects of media are as important for successful multimedia applications as is the media content.
Patent
Image analysis system for detecting edges of a nucleus
TL;DR: In this paper, a tensor voting method is used to select pixels neighboring the initial edge pixels within an image region to refine true edges, and an adaptive threshold image is determined by sampling a foreground pixel and a background pixel for each initial edge pixel or refined edge pixel, generating histograms for both background and foreground saliency modulated histograms, determining a threshold range for each block of the image, and interpolating the threshold at each pixel based on the threshold range at each block.
Proceedings ArticleDOI
1. Grape counting in RGB videos – comparing two instance segmentation models
TL;DR: In this article , the number of grapes per cluster by comparing two instance segmentation models (YOLACT and Spatial Embeddings) trained on RGB videos acquired with a UAV was investigated.
Proceedings ArticleDOI
Detection System for Traffic Road Sings in Surrounding Environment
M. Fifik,Jan Turan,Lubos Ovsenik +2 more
TL;DR: A detection system of traffic sign for use in moving cars using HSV or RGB color space to determine the position of traffic signs and features are extracted and used as input in to image classification system.
Proceedings Article
Points of focus from color radial symmetry maps
Yahiaoui Itheri,Lakehal Elkhamsa +1 more
TL;DR: This work proposes the integration of color information in the process of detection which will provide more distinctive symmetry maps and test the robustness of the approach under image transformations like illumination changes, noise and occlusion.
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.