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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Journal ArticleDOI
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
Dan Witzner Hansen,Qiang Ji +1 more
TL;DR: This review shows that, despite their apparent simplicity, the development of a general eye detection technique involves addressing many challenges, requires further theoretical developments, and is consequently of interest to many other domains problems in computer vision and beyond.
Book
Local Invariant Feature Detectors: A Survey
TL;DR: An overview of invariant interest point detectors can be found in this paper, where an overview of the literature over the past four decades organized in different categories of feature extraction methods is presented.
Journal ArticleDOI
Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey
TL;DR: A survey of the traffic sign detection literature, detailing detection systems for traffic sign recognition (TSR) for driver assistance and discussing future directions of TSR research, including the integration of context and localization.
Journal ArticleDOI
Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
TL;DR: This study presents, discusses, and extracts the major trends from an exhaustive overview of various nuclei detection, segmentation, feature computation, and classification techniques used in histopathology imagery, specifically in hematoxylin-eosin and immunohistochemical staining protocols.
Journal ArticleDOI
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review
Fuyong Xing,Lin Yang +1 more
TL;DR: A comprehensive summary of the recent state-of-the-art nucleus/cell segmentation approaches on different types of microscopy images including bright-field, phase-contrast, differential interference contrast, fluorescence, and electron microscopies is provided.
References
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Journal ArticleDOI
A fast recursive algorithm to compute local axial moments
V. Di Gesu,Roman M. Palenichka +1 more
TL;DR: In this paper, a fast algorithm to compute local axial moments used in the algorithm of discrete symmetry transform (DST) is described. But the main result of the algorithm is that the computation of the local moments is independent of the kernel size, i.e., it takes O(1) per pixel per data point (pixel).
Book ChapterDOI
Face Parts Extraction Windows Based on Bilateral Symmetry of Gradient Direction
Shunji Katahara,Masayoshi Aoki +1 more
TL;DR: A simple algorithm to determine face parts extraction window in face image using bilateral symmetries between and within face parts and detects irises in the candidate of face parts region that includes eyes and eyebrows, using circular mask.
Book ChapterDOI
A Cooperating Strategy for Objects Recognition
TL;DR: The proposed object recognition system, based on the co-operation of several visual modules (early vision, object detector, and object recognizer), has shown good performance especially in case of complex scene analysis, and has been included in the visual system of the DAISY robotics system.
Proceedings ArticleDOI
A fast recursive algorithm for the computation of axial moments
TL;DR: The main result is that the complexity of recursive computation of axial moments becomes independent of the total number of computed moments in a given point, i.e. it is of the order O(N) where N is the data size.