发明名称 LOCAL FEATURE DESCRIPTOR EXTRACTING APPARATUS, LOCAL FEATURE DESCRIPTOR EXTRACTING METHOD, AND PROGRAM
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.
申请公布号 US2014328543(A1) 申请公布日期 2014.11.06
申请号 US201214359063 申请日期 2012.11.15
申请人 NEC Corporation 发明人 Iwamoto Kota;Mase Ryota
分类号 G06K9/62;G06T7/00;G06K9/46 主分类号 G06K9/62
代理机构 代理人
主权项 1. A local feature descriptor extracting apparatus comprising: a feature point detecting unit configured to detect a plurality of feature points in an image and output feature point information that is information regarding each feature point; a feature point selecting unit configured to select 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 configured to acquire a local region corresponding to each selected feature point; a subregion dividing unit configured to divide each local region into a plurality of subregions; a subregion feature vector generating unit configured to generate a feature vector of a plurality of dimensions for each subregion in each local region; and a dimension selecting unit configured to select 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 output an element of the selected dimension as a feature descriptor of the local region.
地址 Tokyo JP