Journal ArticleDOI
Fast radial symmetry for detecting points of interest
G. Loy,Alexander Zelinsky +1 more
Reads0
Chats0
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
More filters
Posted Content
Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process
TL;DR: A novel method for segmentation of clustered partially overlapping convex objects in silhouette images that relies only on edge information and can be applied to any segmentation problems where the objects are partially overlapping and have a convex shape is introduced.
Proceedings ArticleDOI
Feasibility of Motion Compensation using Inertial Measurement in C-arm CT
Jennifer Maier,André Aichert,Wolfgang Mehringer,Bastian Bier,Björn M. Eskofier,Marc E. Levenston,Garry E. Gold,Rebecca Fahrig,Serena Bonaretti,Andreas Maier +9 more
TL;DR: The feasibility of a novel approach for motion correction based on an Inertial Measurement Unit (IMU) attached to the subject is investigated and initial results indicate some challenges for further work, but also show the potential of the IMU-based motion tracking.
Book ChapterDOI
Traffic Sign Detection and Recognition System
TL;DR: In this chapter, a complete description of a complete traffic sign system and how the component pieces are glued together are provided providing competitive results with respect to the state-of-the-art techniques.
Proceedings ArticleDOI
Salient traffic sign detection based on multiscale hypercomplex fourier transform
TL;DR: A new approach to detect salient traffic signs, which is based on visual saliency and auto-generated strokes for image segmentation, which has higher accurate rate and robustness to different natural scenes.
Proceedings ArticleDOI
Eye detection based on the polynomial Hermite expansion
TL;DR: A procedure of eye detection and localization for biometric applications is presented, essentially based on the calculus of two polar moments whose values are employed for Detection and localization of pupils.
References
More filters
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.