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LOCAL FEATURE AMOUNT EXTRACTION DEVICE, LOCAL FEATURE AMOUNT EXTRACTION METHOD, AND PROGRAM

机译:局部特征量提取设备,局部特征量提取方法和程序

摘要

An object of the present invention is to reduce a size of a feature descriptor while maintaining accuracy of object identification. A local feature descriptor extracting apparatus includes: a feature point detecting unit which detects a plurality of feature points in an image and which outputs feature point information that is information regarding each feature point; a feature point selecting unit which selects a prescribed number of feature points in an order of importance from the plurality of detected feature points, based on the feature point information; a local region acquiring unit which acquires a local region corresponding to each selected feature point; a subregion dividing unit which divides each local region into a plurality of subregions; a subregion feature vector generating unit which generates a feature vector of a plurality of dimensions for each subregion in each local region; and a dimension selecting unit which selects a dimension from the feature vector for each subregion so that a correlation between neighboring subregions is lowered, based on a positional relationship between subregions in each local region and which outputs an element of the selected dimension as a feature descriptor of the local region.
机译:本发明的目的是在保持对象识别的准确性的同时减小特征描述符的尺寸。局部特征量提取装置包括:特征点检测单元,其检测图像中的多个特征点,并输出作为与每个特征点有关的信息的特征点信息。特征点选择单元,基于特征点信息从多个检测到的特征点中按照重要性的顺序选择规定数量的特征点;局部区域获取单元,获取与每个选择的特征点相对应的局部区域;子区域划分单元,其将每个局部区域划分为多个子区域;子区域特征向量生成单元,其为每个局部区域中的每个子区域生成多个维度的特征向量;维度选择单元,基于每个局部区域中的子区域之间的位置关系,从每个子区域的特征向量中选择维度,从而降低相邻子区域之间的相关性,并输出所选择的维度的元素作为特征描述符当地的

著录项

  • 公开/公告号EP2782067B1

    专利类型

  • 公开/公告日2019-09-18

    原文格式PDF

  • 申请/专利权人 NEC CORPORATION;

    申请/专利号EP20120849587

  • 发明设计人 IWAMOTO KOTA;MASE RYOTA;

    申请日2012-11-15

  • 分类号G06T7;G06K9/46;G06K9/62;

  • 国家 EP

  • 入库时间 2022-08-21 12:31:49

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