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    • 1. 发明授权
    • Increasing interest point coverage in an image
    • 增加图像中的兴趣点覆盖率
    • US08731306B2
    • 2014-05-20
    • US13054557
    • 2009-07-27
    • Michael ChertokAdi Pinhas
    • Michael ChertokAdi Pinhas
    • G06K9/32G09G5/00
    • G06K9/4671G06T7/11G06T2207/20164
    • A system for generating virtual interest points in an image, according to detected interest points in that image is detected by an interest point detector. The system includes: an interest point density map producer and an interest point generator, the interest point density map producer receiving the image including the detected interest points, the interest point density map producer extracts a density map of the detected interest points within the image. The interest point generator is coupled with the interest point density map producer, the interest point generator receiving the image including the detected interest points and the interest point density map. The interest point generator determines image areas for generating virtual interest points, the interest point generator generating at least one virtual interest point at the determined areas according to at least the position of one of the detected interest points, the virtual interest point not being detected by the interest point detector.
    • 根据该图像中的检测到的兴趣点,通过感兴趣点检测器检测用于在图像中产生虚拟感兴趣点的系统。 该系统包括:兴趣点密度图生成器和兴趣点生成器,兴趣点密度图生成器接收包括检测到的兴趣点的图像,兴趣点密度图生成器提取图像内检测到的兴趣点的密度图。 兴趣点发生器与兴趣点密度图生成器耦合,感兴趣点发生器接收包括检测到的兴趣点和兴趣点密度图的图像。 所述兴趣点发生器确定用于产生虚拟兴趣点的图像区域,所述兴趣点发生器至少根据检测到的兴趣点中的一个的位置生成在所确定的区域上的至少一个虚拟兴趣点,虚拟兴趣点不被 感兴趣点检测器。
    • 4. 发明授权
    • Method for organizing a database of images and retrieving images from that database according to a query image
    • 用于组织图像数据库并根据查询图像从该数据库检索图像的方法
    • US08818106B2
    • 2014-08-26
    • US12775260
    • 2010-05-06
    • Michael ChertokAdi Pinhas
    • Michael ChertokAdi Pinhas
    • G06K9/68G06K9/00G06F17/30
    • G06F17/30259
    • A method for determining a matching score between a first set of n1 feature points, and a second set of n2 feature points includes producing a triple-wise affinity tensor, determining a leading eigenvector of the triple-wise affinity tensor, iteratively producing a binary optimal assignment vector and determining a matching score between the first set of feature points and the second set of feature points. The triple-wise affinity tensor includes the affinity score of assignments of triplets of feature points of the first set of feature points and triplets of feature points of the second set of feature points. The procedure of iteratively producing a binary optimal assignment vector is performed by discretization of the leading eigenvector. The procedure of determining a matching score is performed according to the triple-wise affinity tensor and according to the optimal assignment vector.
    • 一种用于确定第一组n1特征点和第二组n2特征点之间的匹配分数的方法包括产生三重相关张量,确定三次感兴趣张量的前导特征向量,迭代地产生二进制最优 并且确定第一组特征点与第二组特征点之间的匹配分数。 三重感兴趣张量包括第一组特征点的特征点的三元组的赋值和第二组特征点的特征点的三元组的亲和度分数。 迭代生成二进制最优分配向量的过程是通过离散前导特征向量来执行的。 根据三重感兴趣张量并根据最优分配向量来执行确定匹配分数的过程。
    • 6. 发明申请
    • EDGE NEIGHBORHOOD DESCRIPTOR
    • 边缘邻里描述
    • US20110235922A1
    • 2011-09-29
    • US13054558
    • 2009-07-27
    • Michael ChertokAdi PinhasLev Koushnir
    • Michael ChertokAdi PinhasLev Koushnir
    • G06K9/48
    • G06K9/4671
    • System for generating an edge neighborhood descriptor for describing the surrounding of an interest point according to the closest edges includes a sector determiner, a closest edge determiner, and an edge neighborhood descriptor constructor, the closest edge determiner is coupled between the sector determiner and the edge neighborhood descriptor constructor. The sector determiner determines N sectors, surrounding the interest point. The closest edge determiner determines for each of the N sectors, the edge pixel closest to the interest point, according to at least one binary edge map. The edge neighborhood descriptor constructor constructs the edge neighborhood descriptor such that the length of the radius of each of the N sectors is determined according to at least the distance from the interest point to the edge pixel closest to the interest point within the sector, the edge neighborhood descriptor includes the N sectors.
    • 用于生成用于根据最近边缘描述兴趣点的周围的边缘邻域描述符的系统包括扇区确定器,最近边缘确定器和边缘邻域描述符构造器,最近边缘确定器耦合在扇区确定器和边缘之间 邻居描述符构造函数。 扇区确定器确定围绕兴趣点的N个扇区。 根据至少一个二进制边缘图,最近的边缘确定器为每个N个扇区确定最靠近该兴趣点的边缘像素。 边缘邻居描述符构造器构造边缘邻域描述符,使得根据至少距离兴趣点到最靠近扇区内的兴趣点的边缘像素的距离来确定N个扇区中的每一个的半径的长度,边缘 邻域描述符包括N个扇区。