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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Computer-Aided Detection of Centroblasts for Follicular Lymphoma Grading Using Adaptive Likelihood-Based Cell Segmentation
TL;DR: This paper presents a computer-aided detection system for automated identification of CB cells from H&E-stained FL tissue samples and evaluates the proposed approach on 100 region-of-interest images extracted from ten distinct tissue samples, obtaining a promising 80.7% detection accuracy.
Journal ArticleDOI
Developmental Changes in Natural Viewing Behavior: Bottom-Up and Top-Down Differences between Children, Young Adults and Older Adults.
TL;DR: The results indicate that, with age, bottom-up fixation selection loses strength and/or the role of top-down processes becomes more important and older adults who increase their feature-related viewing by being more explorative make use of this low-level information and perform better in the task.
Journal ArticleDOI
Real-time gesture recognition by learning and selective control of visual interest points
TL;DR: This paper developed a selective control method to equip the recognition system with self-load monitoring and controlling functionality, and shows that the approach provides robust recognition with respect to such factors as type of clothing, type of gesture, extent of motion trajectories, and individual differences in motion characteristics.
Journal ArticleDOI
Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network
TL;DR: This study was the first effort to detect immature peach fruit in natural environment to the authors’ knowledge and 84.2 % of the actual fruits were successfully detected using three different image scanning methods for the validation set.
Journal ArticleDOI
Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites
TL;DR: An Adaptive Privacy Policy Prediction (A3P) system to help users compose privacy settings for their images, which relies on an image classification framework for image categories which may be associated with similar policies, and a policy prediction algorithm to automatically generate a policy for each newly uploaded image according to users' social features.
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.
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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.