Patch-based Image Correlation with Rapid Filtering

G. Guo, C. Dyer
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引用次数: 38

Abstract

This paper describes a patch-based approach for rapid image correlation or template matching. By representing a template image with an ensemble of patches, the method is robust with respect to variations such as local appearance variation, partial occlusion, and scale changes. Rectangle filters are applied to each image patch for fast filtering based on the integral image representation. A new method is developed for feature dimension reduction by detecting the "salient" image structures given a single image. Experiments on a variety images show the success of the method in dealing with different variations in the test images. In terms of computation time, the approach is faster than traditional methods by up to two orders of magnitude and is at least three times faster than a fast implementation of normalized cross correlation.
基于patch的快速滤波图像相关
本文描述了一种基于补丁的快速图像相关或模板匹配方法。通过对模板图像进行拼接,该方法对局部外观变化、局部遮挡和尺度变化等变化具有鲁棒性。基于图像的积分表示,对每个图像块应用矩形滤波器进行快速滤波。提出了一种通过检测单个图像的“显著性”结构来实现特征降维的新方法。在各种图像上的实验表明,该方法可以成功地处理测试图像中的不同变化。在计算时间方面,该方法比传统方法快两个数量级,比快速实现归一化互相关快至少三倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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