Region description using scalable circumferential filters

机译：使用可扩展圆周滤波器的区域描述

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摘要

In this paper, we present a technique to describe local image features using scalable circumferential filters. Region description is the basic technique for many computer vision applications such as visual tracking, matching, and object recognition. In the first part of this paper, we present an elliptical cylinder projection method to geometrically normalize the ellipse regions to circular. In the second part of the paper, a set of scalable circumferential filters are proposed to extraction the distinctive feature of each region. Unlike traditional image filters, the shape of the proposed circumferential filters is fan and is scalable with its distance to the region's center. Experiments on typical images exhibit the robustness of the proposed method. Extensively quantitative evaluation and comparison demonstrate that the proposed method outperforms state-of-the-art method.

机译：在本文中，我们提出了一种使用可扩展圆周滤波器描述局部图像特征的技术。区域描述是许多计算机视觉应用程序（如视觉跟踪，匹配和对象识别）的基本技术。在本文的第一部分中，我们提出了一种椭圆圆柱投影方法，以将椭圆区域几何标准化为圆形。在本文的第二部分中，提出了一组可缩放的圆周滤波器，以提取每个区域的独特特征。与传统的图像滤镜不同，建议的圆周滤镜的形状是扇形的，并且可以扩展到其与区域中心的距离。在典型图像上的实验表明了该方法的鲁棒性。广泛的定量评估和比较表明，该方法优于最新方法。

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来源
《2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics》|2014年|263-268|共6页
会议地点 Wuhan(CN)
作者
Zhang Wei; You Xinge;
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作者单位

Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hubei, 430074, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Feature extraction; Filter banks; Gabor filters; Histograms; Information filters; Shape; Region description; scalable circumferential filters;

机译：特征提取;滤波器组; Gabor滤波器;直方图;信息滤波器;形状;区域描述;可缩放圆周滤波器;;

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Region description using scalable circumferential filters

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