会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • IMAGE PROCESSING METHODS AND APPARATUS
    • 图像处理方法和装置
    • US20140125773A1
    • 2014-05-08
    • US14072427
    • 2013-11-05
    • KABUSHIKI KAISHA TOSHIBA
    • Atsuto MAKIRiccardo GherardiOliver WoodfordFrank PerbetMinh-Tri PhamBjorn StengerSam JohnsonRoberto Cipolla
    • G06T7/40H04N13/02G06T7/00
    • H04N13/239G06T7/593G06T7/90G06T7/97G06T2207/10012G06T2207/20076H04N2013/0081
    • A method of calculating a similarity measure between first and second image patches, which include respective first and second intensity values associated with respective elements of the first and second image patches, and which have a corresponding size and shape such that each element of the first image patch corresponds to an element on the second image patch. The method: determines a set of sub-regions on the second image patch corresponding to elements of the first image patch and having first intensity values within a range defined for that sub-region; calculates variance, for each sub-region of the set over all of the elements of that sub-region, of a function of the second intensity value associated with that element and the first intensity value associated with the corresponding element of the first image patch; and calculates similarity measure as the sum over all sub-regions of the calculated variances.
    • 一种计算第一和第二图像块之间的相似性度量的方法,其包括与第一和第二图像块的各个元件相关联的相应的第一和第二强度值,并且具有相应的尺寸和形状,使得第一图像的每个元素 补丁对应于第二个图像补丁上的元素。 该方法:确定与第一图像补丁的元素相对应的第二图像补丁上的一组子区域,并且在为该子区域定义的范围内具有第一强度值; 对于该子区域的所有元素的集合的每个子区域计算与该元素相关联的第二强度值的函数和与第一图像补丁的相应元素相关联的第一强度值的方差; 并计算相似性度量作为计算方差的所有子区域之和。
    • 5. 发明申请
    • IMAGE PROCESSING METHOD AND SYSTEM
    • 图像处理方法和系统
    • US20150036918A1
    • 2015-02-05
    • US14460171
    • 2014-08-14
    • Kabushiki Kaisha Toshiba
    • Minh-Tri PhamOliver WoodfordFrank PerbetAtsuto MakiBjorn StengerRoberto Cipolla
    • G06T7/00G06T3/20G06F17/30G06T3/60G06K9/00G06K9/62
    • G06T7/0042G06F17/30259G06K9/00214G06K9/2036G06K9/6202G06T3/20G06T3/60G06T7/586G06T7/73G06T2207/10024G06T2207/30208G06T2207/30244
    • A method of comparing two object poses, wherein each object pose is expressed in terms of position, orientation and scale with respect to a common coordinate system, the method comprising: calculating a distance between the two object poses, the distance being calculated using the distance function: d sRt  ( X , Y ) = d s 2  ( X , Y ) σ s 2 + d r 2  ( X , Y ) σ r 2 + d t 2  ( X , Y ) σ t 2 . where X is the object pose of one object and Y is the object pose of the other object, d s  ( X , Y ) =  log  ( s  ( X ) s  ( Y ) )  ,  d r  ( X , Y ) =  R  ( X ) - R  ( Y )  F ,  d t  ( X , Y ) =  t  ( X ) - t  ( Y )  s  ( Y ) , s(X) and s(Y) are scalar functions representing the scale of the object poses X and Y respectively, R(X) and R(Y) are matrices expressing the rotation of object poses X and Y respectively, t(X) and t(Y) are vectors expressing the translation of object poses X and Y respectively, and σs, σr and σt are weighting factors for ds, dr and dt respectively.
    • 一种比较两个物体姿态的方法,其中每个物体姿态相对于公共坐标系以位置,方向和比例表示,所述方法包括:计算两个物体姿势之间的距离,使用距离计算距离 函数:d sRt(X,Y)= ds 2(X,Y)&sgr; s 2 + d r 2(X,Y)&sgr; r 2 + d t 2(X,Y)&sgr; t 2。 其中X是一个对象的对象姿态,Y是另一个对象的对象姿态,其中X(X,Y)=(log)(s(X)s(Y)),dr (Y)(X) - R(Y)F,dt(X,Y)=t(X) - t(Y) )和s(Y)分别表示对象姿态X和Y的尺度的标量函数,R(X)和R(Y)分别表示对象姿势X和Y的旋转矩阵,t(X)和t( Y)是分别表示对象姿势X和Y的平移的矢量,&sgr,s,&sgr; r和&sgr; t分别是ds,dr和dt的权重因子。
    • 8. 发明授权
    • Image processing method and system
    • 图像处理方法和系统
    • US09008439B2
    • 2015-04-14
    • US14460171
    • 2014-08-14
    • Kabushiki Kaisha Toshiba
    • Minh-Tri PhamOliver WoodfordFrank PerbetAtsuto MakiBjorn StengerRoberto Cipolla
    • G06K9/48G06T7/00G06K9/00G06K9/62G06F17/30G06T3/60G06T3/20
    • G06T7/0042G06F17/30259G06K9/00214G06K9/2036G06K9/6202G06T3/20G06T3/60G06T7/586G06T7/73G06T2207/10024G06T2207/30208G06T2207/30244
    • A method of comparing two object poses, wherein each object pose is expressed in terms of position, orientation and scale with respect to a common coordinate system, the method comprising: calculating a distance between the two object poses, the distance being calculated using the distance function: d sRt ⁡ ( X , Y ) = d s 2 ⁡ ( X , Y ) σ s 2 + d r 2 ⁡ ( X , Y ) σ r 2 + d t 2 ⁡ ( X , Y ) σ t 2 . where X is the object pose of one object and Y is the object pose of the other object, d s ⁡ ( X , Y ) =  log ⁡ ( s ⁡ ( X ) s ⁡ ( Y ) )  , ⁢ d r ⁡ ( X , Y ) =  R ⁡ ( X ) - R ⁡ ( Y )  F , ⁢ d t ⁡ ( X , Y ) =  t ⁡ ( X ) - t ⁡ ( Y )  s ⁡ ( Y ) , s(X) and s(Y) are scalar functions representing the scale of the object poses X and Y respectively, R(X) and R(Y) are matrices expressing the rotation of object poses X and Y respectively, t(X) and t(Y) are vectors expressing the translation of object poses X and Y respectively, and σs, σr and σt are weighting factors for ds, dr and dt respectively.
    • 一种比较两个物体姿态的方法,其中每个物体姿态相对于公共坐标系以位置,方向和比例表示,所述方法包括:计算两个物体姿势之间的距离,使用距离计算距离 函数:d sRt⁡(X,Y)= ds 2⁡(X,Y)&sgr; s 2 + d r 2⁡(X,Y)&sgr; r 2 + d t 2⁡(X,Y)&sgr; t 2。 其中X是一个对象的对象姿态,Y是另一个对象的对象姿态,ds⁡(X,Y)= log log(s⁡(X)s⁡(Y))庇,dr⁡(X ,Y)=R⁡(X) - R⁡(Y)F,dt⁡(X,Y)=t⁡(X)-t⁡(Y)s⁡(Y) )和s(Y)分别表示对象姿态X和Y的尺度的标量函数,R(X)和R(Y)分别表示对象姿势X和Y的旋转矩阵,t(X)和t( Y)是分别表示对象姿势X和Y的平移的矢量,&sgr,s,&sgr; r和&sgr; t分别是ds,dr和dt的权重因子。