公开(公告)号：US09208399B2

公开(公告)日：2015-12-08

申请号：US14223836

申请日：2014-03-24

Applicant: Electronics and Telecommunications Research Institute

Inventor： Keun-Dong Lee ,  Seung-Jae Lee ,  Sang-Il Na ,  Sung-Kwan Je ,  Da-Un Jung ,  Weon-Geun Oh ,  Young-Ho Suh ,  Wook-Ho Son

IPC: G06K9/46 ,  G06K9/22

CPC classification number: G06K9/4671 ,  G06K9/228

Abstract: A method and system for extracting a visual descriptor using a feature selection are provided. The system includes an image input unit configured to receive an image, a candidate feature point group detecting unit configured to detect a point having a local maximum or minimum of local region filtering in scale-space images as being included in a candidate feature point group, a feature point selecting unit configured to calculate an importance for each candidate feature point, depending on its characteristics, select the candidate feature point as a feature point when its importance is greater than the predetermined threshold value, a dominant orientation calculating unit configured to calculate a dominant orientation of the selected feature point and a visual descriptor extracting unit configured to extract a patch for each feature point, according to its scale, location and dominant orientation, and extract a visual descriptor from the patch.

Abstract translation: 提供了一种使用特征选择来提取视觉描述符的方法和系统。 该系统包括被配置为接收图像的图像输入单元，候选特征点组检测单元，被配置为检测在尺度空间图像中包括在候选特征点组中的局部区域过滤的局部最大值或最小值的点， 特征点选择单元，其被配置为根据其特征来计算每个候选特征点的重要性;当所述候选特征点的重要性大于所述预定阈值时，选择所述候选特征点作为特征点;主导方位计算单元， 所选择的特征点的主导取向和视觉描述符提取单元，被配置为根据其尺度，位置和主导取向提取每个特征点的补丁，并从补丁提取可视描述符。

公开(公告)号：US20130223749A1

公开(公告)日：2013-08-29

申请号：US13781670

申请日：2013-02-28

Applicant: Electronics and Telecommunications Research Institute

Inventor： Sang-Il NA ,  Keun-Dong Lee ,  Weon-Geun OH ,  Hyuk Jeong ,  Sung-Kwan Je ,  Dong-Seok Jeong

IPC: G06K9/46 ,  G06K9/62

CPC classification number: G06K9/46 ,  G06K9/4676 ,  G06K9/6201

Abstract: An image recognition apparatus using a scalable compact local feature descriptor is provided. The image recognition apparatus includes a feature descriptor generator, a database, and a descriptor matcher. The feature descriptor generator extracts scalable compact local feature descriptor information for recognizing an object from input image information. The database includes information on a plurality of feature descriptors. The descriptor matcher compares a feature descriptor output from the feature descriptor generator with a plurality of feature descriptors stored in the database to recognize an object included in an image.

Abstract translation: 提供了一种使用可缩放紧凑局部特征描述符的图像识别装置。 图像识别装置包括特征描述符生成器，​​数据库和描述符匹配器。 特征描述符生成器从输入图像信息中提取用于识别对象的可缩放紧凑局部特征描述符信息。 数据库包括关于多个特征描述符的信息。 描述符匹配器将从特征描述符生成器输出的特征描述符与数据库中存储的多个特征描述符进行比较，以识别图像中包括的对象。