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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Localizing Polygonal Objects in Man-Made Environments
TL;DR: This thesis proposes a contour-based object detection framework to deal with the detection of polygonal objects, and proposes a generic contour grouping based object detection approach by exploring promising cycles in a line fragment graph.
Proceedings ArticleDOI
Facial age classification based on weighted decision fusion
TL;DR: A strong SVM classifier based on multi-feature weighted decision fusion is designed according to the three features extracted and the impact of the SVM parameters and the face image resolution on the results is analyzed.
Proceedings ArticleDOI
Cells Detection and Segmentation in ER-IHC Stained Breast Histopathology Images
Mohammad F. Jamaluddin,Mohammad Faizal Ahmad Fauzi,Fazly Salleh Abas,J. T. H. Lee,S. Y. Khor,K. H. Teoh,L. M. Looi +6 more
TL;DR: In this paper, the authors used a deep convolutional neural network (CNN) followed by watershed-based post-processing to detect and segment cells in ER-IHC stained whole-slide breast cancer images.
Proceedings ArticleDOI
Log pile measurement through 3D modeling
Artem Kruglov,Evgenia Shishko +1 more
TL;DR: A method for the log piles photogrammetry measurement using the developed algorithm can be successfully applied in the activity of forest enterprises.
Proceedings ArticleDOI
Application of Radial Symmetry for Caldera Detection
TL;DR: This paper presents a circular feature detection technique based on the fast radial symmetry transform, which is applied to volcanic caldera detection using topographic data and is capable of rapidly processing large datasets as an initial screening tool to assist a manual identification process.
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.