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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Book ChapterDOI
Free-Shape Polygonal Object Localization
TL;DR: This paper uses its cyclomatic number to partition the graph into managebly-sized sub-graphs that preserve nodes and edges with a high weight and are most likely to contain object contours and demonstrates that this approach significantly outperforms the state-of-the-art for the detection of building rooftops in aerial images and polygonal object categories from ImageNet.
Proceedings ArticleDOI
Sparse MRF Appearance Models for Fast Anatomical Structure Localisation
TL;DR: This paper presents an approach that localises anatomical structures in a global manner by means of Markov Random Fields (MRF), which does not need initialisation, but finds the most plausible match of the query structure in the image.
Proceedings ArticleDOI
A novel pupil localization method based on GaborEye model and radial symmetry operator
TL;DR: A novel GaborEye model for eye localization is proposed, based on the special gray distribution in the eye-and-brow region, which can be exploited to segment the two pupil regions efficiently.
Journal ArticleDOI
An Automated Method for Cell Detection in Zebrafish
Tianming Liu,Tianming Liu,Gang Li,Gang Li,Jingxin Nie,Ashley Tarokh,Ashley Tarokh,Xiaobo Zhou,Xiaobo Zhou,Lei Guo,Jarema Malicki,Weiming Xia,Stephen T. C. Wong,Stephen T. C. Wong +13 more
TL;DR: This work presents a novel cell detection method for the automatic quantification of zebrafish neuronal cells, including primary motor neurons, Rohon–Beard neurons, and retinal cells, and shows that it consistently displays high sensitivity and specificity.
Proceedings ArticleDOI
A novel approach to video-based pupil tracking
TL;DR: A new eye tracking algorithm for EyeSeeCam is devised which has low computational complexity and lends enough robustness in the detection of pupil centre, and was detected accurately in 96% of the cases, including those in which the pupil was occluded by more than half its size.
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.