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HLD: A robust descriptor for line matching

机译：HLD：用于线匹配的强大描述符

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摘要

Line matching plays an important role in many applications, such as image registration, 3D reconstruction, object recognition and video understanding. However, compared with other features (such as point, region) matching, it has made little progress in recent years. In this paper, we investigate the problem of matching line segments automatically only from their neighborhood appearance, without any constraints or priori knowledge. A novel line descriptor called HLD descriptor is proposed for this purpose, which is constructed by the following three steps: (1) Line support region (LSR) is defined, then divided into a series of overlapped sub-regions with the same size; (2) Line description matrix (DM) is formed by characterizing each sub-region into a vector; (3) HLD descriptor is built by computing mean and standard deviation of DM column vectors. Experimental results show that HLD descriptor is highly distinctive and very robust for line matching on real images.
机译：线匹配在许多应用中起重要作用，例如图像配准，三维重建，对象识别和视频理解。然而，与其他特征（如点，区域）相比，近年来取得了很少的进展。在本文中，我们才能从其邻域外观中自动调查匹配线段的问题，而没有任何约束或先验知识。为此目的提出了一种名为HLD描述符的新颖线描述符，其由以下三个步骤构造：（1）定义了线路支持区域（LSR），然后分成具有相同尺寸的一系列重叠的子区域; （2）线描述矩阵（DM）通过将每个子区域表征成载体而形成; （3）通过计算DM列向量的均值和标准偏差来构建HLD描述符。实验结果表明，HLD描述符对真实图像上的线路匹配非常独特，非常坚固。

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