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Dec, 2016
可变形多样性相似度模板匹配
Template Matching with Deformable Diversity Similarity
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Itamar Talmi, Roey Mechrez, Lihi Zelnik-Manor
TL;DR
提出一种名为Deformable Diversity Similarity的新型模板匹配衡量标准，基于目标图像窗口与模板之间的特征匹配差异，利用本地外观和几何信息提高匹配性能，该方法能够有效应对复杂变形、显著的背景杂波和遮挡，实验评估表明该方法优于当前的最先进技术，同时提高了计算复杂性。
Abstract
We propose a novel measure for
template matching
named
deformable diversity similarity
-- based on the diversity of feature matches between a target image window and the template. We rely on both
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