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公开(公告)号:US20160275124A1
公开(公告)日:2016-09-22
申请号:US15074252
申请日:2016-03-18
Inventor: Seungjae LEE , Keun Dong LEE , Weon Geun OH , DA-UN JUNG , Sungkwan JE
IPC: G06F17/30
CPC classification number: G06F16/29 , G06F16/5838
Abstract: Provided is a visual search system. The visual search system according to an embodiment of the inventive concept may include a database that stores characteristic information for a visual search, and a visual search update server that updates the DB based on an image of a target captured by a moving object or a fixed object. According to an embodiment of the inventive concept, it is possible to efficiently update a DB for a visual search because images captured by not only the moving object but also the fixed object are used.
Abstract translation: 提供了一种视觉搜索系统。 根据本发明构思的实施例的视觉搜索系统可以包括存储用于视觉搜索的特征信息的数据库,以及基于由移动对象捕获的目标或固定的目标的图像来更新DB的视觉搜索更新服务器 目的。 根据本发明构思的实施例,可以有效地更新用于视觉搜索的数据库,因为不仅使用移动对象而且使用固定对象捕获的图像。
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公开(公告)号:US20150242703A1
公开(公告)日:2015-08-27
申请号:US14265283
申请日:2014-04-29
Inventor: Seungjae LEE , Sangil NA , Keun Dong LEE , Sungkwan JE , DA-UN JUNG , Weon Geun OH , Young Ho SUH , Wookho SON
CPC classification number: G06K9/4671 , G06F17/30247
Abstract: A method for extracting features from an image for use in a computing device, the method comprising: producing Gaussian Scale Space (GSS) images in the type of a pyramid from the image inputted to the computing device; performing a Scale Normalized Laplacian Filtering on the GSS images; detecting interest points from the images that are subject to the Scale Normalized Laplacian Filtering; and extracting features of the image using the detected interest points.
Abstract translation: 一种用于从用于计算设备的图像中提取特征的方法,所述方法包括:从输入到所述计算设备的图像生成金字塔类型的高斯比例空间(GSS)图像; 对GSS图像执行缩放归一化拉普拉斯滤波; 从经受缩放归一化拉普拉斯滤波的图像中检测兴趣点; 以及使用检测到的兴趣点提取图像的特征。
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