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1. 发明授权

US09008424B2 Method and system for comparing images 有权
标题翻译：用于比较图像的方法和系统
公开(公告)号：US09008424B2
公开(公告)日：2015-04-14
申请号：US13981824
申请日：2011-01-25
申请人： Giovanni Cordara , Gianluca Francini , Skjalg Lepsoy , Pedro Porto Buarque de Gusmao
发明人： Giovanni Cordara , Gianluca Francini , Skjalg Lepsoy , Pedro Porto Buarque de Gusmao
IPC分类号： G06K9/00 , G06K9/46 , G06K9/68 , G06K9/62
CPC分类号： G06K9/68 , G06K9/6211
摘要： A method for comparing a first image with a second image. The method identifies first keypoints in the first image and second keypoints in the second image and associates each first keypoint with a corresponding second keypoint to form a corresponding keypoint match. For each pair of first keypoints, the method further calculates the distance therebetween for obtaining a corresponding first length. Similarly, for each pair of second keypoints, the method calculates the distance therebetween for obtaining a corresponding second length. The method further calculates a plurality of distance ratios; each distance ratio is based on a length ratio between a selected one between a first length and a second length and a corresponding selected one between a second length and a first length, respectively.
摘要翻译：一种用于将第一图像与第二图像进行比较的方法。该方法识别第一图像中的第一关键点和第二图像中的第二关键点，并且将每个第一关键点与相应的第二关键点相关联以形成相应的关键点匹配。对于每对第一关键点，该方法进一步计算它们之间的距离以获得对应的第一长度。类似地，对于每对第二关键点，该方法计算它们之间的距离以获得相应的第二长度。该方法进一步计算多个距离比; 每个距离比基于分别在第一长度和第二长度之间的所选择的长度比和在第二长度和第一长度之间的相应选择的长度比。

2. 发明申请

US20130308861A1 METHOD AND SYSTEM FOR COMPARING IMAGES 有权
标题翻译：用于比较图像的方法和系统
公开(公告)号：US20130308861A1
公开(公告)日：2013-11-21
申请号：US13981824
申请日：2011-01-25
申请人： Giovanni Cordara , Gianluca Francini , Skjalg Lepsoy , Pedro Porto Buarque De Gusmao
发明人： Giovanni Cordara , Gianluca Francini , Skjalg Lepsoy , Pedro Porto Buarque De Gusmao
IPC分类号： G06K9/68
CPC分类号： G06K9/68 , G06K9/6211
摘要： A method for comparing a first image with a second image. The method identifies first keypoints in the first image and second keypoints in the second image and associates each first keypoint with a corresponding second keypoint to form a corresponding keypoint match. For each pair of first keypoints, the method further calculates the distance therebetween for obtaining a corresponding first length. Similarly, for each pair of second keypoints, the method calculates the distance therebetween for obtaining a corresponding second length. The method further calculates a plurality of distance ratios; each distance ratio is based on a length ratio between a selected one between a first length and a second length and a corresponding selected one between a second length and a first length, respectively.
摘要翻译：一种用于将第一图像与第二图像进行比较的方法。该方法识别第一图像中的第一关键点和第二图像中的第二关键点，并且将每个第一关键点与相应的第二关键点相关联以形成相应的关键点匹配。对于每对第一关键点，该方法进一步计算它们之间的距离以获得对应的第一长度。类似地，对于每对第二关键点，该方法计算它们之间的距离以获得相应的第二长度。该方法进一步计算多个距离比; 每个距离比基于分别在第一长度和第二长度之间的所选择的长度比和在第二长度和第一长度之间的相应选择的长度比。

3. 发明授权

US08625678B2 Method for scalable video coding on a plurality of space resolution levels 有权
标题翻译：用于在多个空间分辨率级别上进行可缩放视频编码的方法
公开(公告)号：US08625678B2
公开(公告)日：2014-01-07
申请号：US11992741
申请日：2005-09-29
申请人： Giovanni Cordara , Gianluca Francini , Skjalg Lepsoy
发明人： Giovanni Cordara , Gianluca Francini , Skjalg Lepsoy
IPC分类号： H04N7/12
CPC分类号： H04N19/53 , H04N19/537
摘要： A method for estimating motion for the scalable video coding, includes the step of estimating the motion field of a sequence of photograms which can be represented with a plurality of space resolution levels including computing the motion field for the minimum resolution level and, until the maximum resolution level is reached, repeating the steps of: rising by one resolution level; extracting the photograms for such resolution level; and computing the motion field for such resolution level. The motion field is computed through an optical flow equation which contains, for every higher level than the minimum resolution level, a regularization factor between levels which points out the difference between the solution for the considered level and the solution for the immediately lower resolution level. A more or less high value of the regularization factor implies more or less relevant changes of the component at the considered resolution during the following process iterations.
摘要翻译：用于估计可伸缩视频编码的运动的方法包括估计可以用多个空间分辨率级别表示的摄影图序列的运动场的步骤，包括计算最小分辨率级别的运动场，并且直到最大值达到分辨率水平，重复以上步骤：上升一分辨率水平; 提取这样的分辨率级别的照片; 并计算这种分辨率水平的运动场。运动场是通过一个光学流量方程来计算的，对于每个比最小分辨率级别高的级别，它包含指出所考虑的级别的解决方案与立即降低分辨率级别的解决方案之间的差异的级别之间的正则化因子。正则化因子的或多或少高值意味着在以下过程迭代期间，在考虑的分辨率下组件的或多或少的相关变化。

4. 发明授权

US08160353B2 Method for determining dense disparity fields in stereo vision 有权
标题翻译：用于确定立体视觉中密集视差场的方法
公开(公告)号：US08160353B2
公开(公告)日：2012-04-17
申请号：US12085854
申请日：2005-12-21
申请人： Gianluca Francini , Giovanni Cordara , Skjalg Lepsoy
发明人： Gianluca Francini , Giovanni Cordara , Skjalg Lepsoy
IPC分类号： G06K9/00
CPC分类号： G06T7/97 , G06K9/209 , H04N13/246 , H04N2013/0081
摘要： In a stereo vision system comprising two cameras shooting the same scene from different positions, a method is performed for determining dense disparity fields between digital images shot by the two cameras, including the steps of capturing a first and a second image of the scene, and determining, for each pixel of the second image, the displacement from a point in the first image to such pixel of the second image minimizing an optical flow objective function, wherein the optical flow objective function includes, for each pixel of the second image, a term depending in a monotonously increasing way on the distance between the epipolar line associated with such pixel and the above point in the first image, such term depending on calibration parameters of the two cameras and being weighed depending on the uncertainty of the calibration data.
摘要翻译：在包括从不同位置拍摄相同场景的两个摄像机的立体视觉系统中，执行用于确定由两个摄像机拍摄的数字图像之间的密集视差场的方法，包括捕获场景的第一和第二图像的步骤，以及为所述第二图像的每个像素确定从所述第一图像中的点到所述第二图像的所述像素的位移，使得所述光流目标函数最小化，其中所述光流目标函数对于所述第二图像的每个像素包括这取决于与这种像素相关联的核线与第一图像中的上述点之间的距离的单调增加的方式，该项取决于两个照相机的校准参数，并且根据校准数据的不确定性被称重。

5. 发明申请

US20090304090A1 Method for Scalable Video Coding 有权
标题翻译：可扩展视频编码方法
公开(公告)号：US20090304090A1
公开(公告)日：2009-12-10
申请号：US11992741
申请日：2005-09-29
申请人： Giovanni Cordara , Gianluca Francini , Skjalg Lepsoy
发明人： Giovanni Cordara , Gianluca Francini , Skjalg Lepsoy
IPC分类号： H04N7/12
CPC分类号： H04N19/53 , H04N19/537
摘要： A method for estimating motion for the scalable video coding, includes the step of estimating the motion field of a sequence of photograms which can be represented with a plurality of space resolution levels including computing the motion field for the minimum resolution level and, until the maximum resolution level is reached, repeating the steps of: rising by one resolution level; extracting the photograms for such resolution level; and computing the motion field for such resolution level. The motion field is computed through an optical flow equation which contains, for every higher level than the minimum resolution level, a regularization factor between levels which points out the difference between the solution for the considered level and the solution for the immediately lower resolution level. A more or less high value of the regularization factor implies more or less relevant changes of the component at the considered resolution during the following process iterations.
摘要翻译：用于估计可伸缩视频编码的运动的方法包括估计可以用多个空间分辨率级别表示的摄影图序列的运动场的步骤，包括计算最小分辨率级别的运动场，并且直到最大值达到分辨率水平，重复以上步骤：上升一分辨率水平; 提取这样的分辨率级别的照片; 并计算这种分辨率水平的运动场。运动场是通过一个光学流量方程来计算的，对于每个比最小分辨率级别高的级别，它包含指出所考虑的级别的解决方案与立即降低分辨率级别的解决方案之间的差异的级别之间的正则化因子。正则化因子的或多或少高值意味着在以下过程迭代期间，在考虑的分辨率下组件的或多或少的相关变化。

6. 发明申请

US20100215248A1 Method for Determining Dense Disparity Fields in Stereo Vision 有权
标题翻译：确定立体视觉中密集差距场的方法
公开(公告)号：US20100215248A1
公开(公告)日：2010-08-26
申请号：US12085854
申请日：2005-12-21
申请人： Gianluca Francini , Giovanni Cordara , Skjalg Lepsoy
发明人： Gianluca Francini , Giovanni Cordara , Skjalg Lepsoy
IPC分类号： G06K9/00
CPC分类号： G06T7/97 , G06K9/209 , H04N13/246 , H04N2013/0081
摘要： In a stereo vision system comprising two cameras shooting the same scene from different positions, a method is performed for determining dense disparity fields between digital images shot by the two cameras, including the steps of capturing a first and a second image of the scene, and determining, for each pixel of the second image, the displacement from a point in the first image to such pixel of the second image minimising an optical flow objective function, wherein the optical flow objective function includes, for each pixel of the second image, a term depending in a monotonously increasing way on the distance between the epipolar line associated with such pixel and the above point in the first image, such term depending on calibration parameters of the two cameras and being weighed depending on the uncertainty of the calibration data.
摘要翻译：在包括从不同位置拍摄相同场景的两个摄像机的立体视觉系统中，执行用于确定由两个摄像机拍摄的数字图像之间的密集视差场的方法，包括捕获场景的第一和第二图像的步骤，以及为所述第二图像的每个像素确定从所述第一图像中的点到所述第二图像的所述像素的位移，使得所述光流目标函数最小化，其中所述光流目标函数对于所述第二图像的每个像素包括这取决于与这种像素相关联的核线与第一图像中的上述点之间的距离的单调增加的方式，该项取决于两个照相机的校准参数，并且根据校准数据的不确定性被称重。

7. 发明申请

US20090304236A1 Method of deriving digital terrain models from digital surface models 有权
标题翻译：从数字表面模型推导数字地形模型的方法
公开(公告)号：US20090304236A1
公开(公告)日：2009-12-10
申请号：US12311050
申请日：2006-09-19
申请人： Gianluca Francini , Skjalg Lepsoy
发明人： Gianluca Francini , Skjalg Lepsoy
IPC分类号： G06K9/00
CPC分类号： G06T17/05
摘要： A method of deriving a digital terrain model from a digital surface model of an area of interest includes: dividing the area of interest into a plurality of area portions or patches; calculating, from the digital surface model, a set of candidate surfaces adapted to represent a ground surface in each area portion; if such set includes at least two candidate surfaces, estimating a distance from the ground surface of each candidate surface by using a function of a set of geometrical features related to the considered candidate surface, such function being derived from a known relation between a digital surface model and the height of the ground surface in a reference area; selecting, as a representation of the ground surface in each area portion, the candidate surface having the smallest distance from the ground surface, so as to obtain local digital terrain models; and merging the different digital terrain models.
摘要翻译：从感兴趣的区域的数字表面模型导出数字地形模型的方法包括：将感兴趣区域划分成多个区域部分或块; 从所述数字表面模型计算适于表示每个区域部分中的地面的一组候选表面; 如果这样的组包括至少两个候选表面，则通过使用与所考虑的候选表面相关的一组几何特征的函数估计与每个候选表面的地面的距离，该函数是从数字表面模型和参考区域的地面高度; 作为每个区域部分中的地面的表示，选择与地面距离最小的候选表面，以获得局部数字地形模型; 并合并不同的数字地形模型。

8. 发明授权

US08295554B2 Method of deriving digital terrain models from digital surface models 有权
标题翻译：从数字表面模型推导数字地形模型的方法
公开(公告)号：US08295554B2
公开(公告)日：2012-10-23
申请号：US12311050
申请日：2006-09-19
申请人： Gianluca Francini , Skjalg Lepsoy
发明人： Gianluca Francini , Skjalg Lepsoy
IPC分类号： G06K9/00
CPC分类号： G06T17/05
摘要： A method of deriving a digital terrain model from a digital surface model of an area of interest includes: dividing the area of interest into a plurality of area portions or patches; calculating, from the digital surface model, a set of candidate surfaces adapted to represent a ground surface in each area portion; if such set includes at least two candidate surfaces, estimating a distance from the ground surface of each candidate surface by using a function of a set of geometrical features related to the considered candidate surface, such function being derived from a known relation between a digital surface model and the height of the ground surface in a reference area; selecting, as a representation of the ground surface in each area portion, the candidate surface having the smallest distance from the ground surface, so as to obtain local digital terrain models; and merging the different digital terrain models.
摘要翻译：从感兴趣的区域的数字表面模型导出数字地形模型的方法包括：将感兴趣区域划分成多个区域部分或块; 从所述数字表面模型计算适于表示每个区域部分中的地面的一组候选表面; 如果这样的组包括至少两个候选表面，则通过使用与所考虑的候选表面相关的一组几何特征的函数估计与每个候选表面的地面的距离，该函数是从数字表面模型和参考区域的地面高度; 作为每个区域部分中的地面的表示，选择与地面距离最小的候选表面，以获得局部数字地形模型; 并合并不同的数字地形模型。

9. 发明授权

US08275195B2 Method for determining scattered disparity fields in stereo vision 有权
标题翻译：确定立体视觉中散射视差场的方法
公开(公告)号：US08275195B2
公开(公告)日：2012-09-25
申请号：US12085763
申请日：2005-11-30
申请人： Gianluca Francini , Skjalg Lepsoy , Giovanni Presti
发明人： Gianluca Francini , Skjalg Lepsoy , Giovanni Presti
IPC分类号： G06K9/00 , G07K9/32 , H04N13/00 , H04N7/12
CPC分类号： G06K9/209 , G06T7/33 , G06T2207/10012
摘要： In a system for stereo vision including two cameras shooting the same scene, a method is performed for determining scattered disparity fields when the epipolar geometry is known, which includes the steps of: capturing, through the two cameras, first and second images of the scene from two different positions; selecting at least one pixel in the first image, the pixel being associated with a point of the scene and the second image containing a point also associated with the above point of the scene; and computing the displacement from the pixel to the point in the second image minimizing a cost function, such cost function including a term which depends on the difference between the first and the second image and a term which depends on the distance of the above point in the second image from a epipolar straight line, and a following check whether it belongs to an allowability area around a subset to the epipolar straight line in which the presence of the point is allowed, in order to take into account errors or uncertainties in calibrating the cameras.
摘要翻译：在包括拍摄相同场景的两个摄像机的立体视觉系统中，执行当已知对极几何时确定散射视差场的方法，其包括以下步骤：通过两个摄像机捕获场景的第一和第二图像从两个不同的位置; 选择所述第一图像中的至少一个像素，所述像素与所述场景的点相关联，所述第二图像包含还与所述场景的上述点相关联的点; 以及计算从所述第二图像中的所述像素到所述点的位移使所述成本函数最小化，所述成本函数包括依赖于所述第一和第二图像之间的差异的项，以及取决于所述第一和第二图像中的上述点的距离的项来自一个直线直线的第二个图像，并且以下检查它是否属于允许存在该点的核线直线的子集周围的允许区域，以便考虑校准中的错误或不确定性相机

10. 发明申请

US20110258196A1 METHOD AND SYSTEM OF CONTENT RECOMMENDATION 有权
标题翻译：内容推荐方法与系统
公开(公告)号：US20110258196A1
公开(公告)日：2011-10-20
申请号：US13142587
申请日：2008-12-30
申请人： Skjalg Lepsoy , Gianluca Francini , Fabrizio Antonelli
发明人： Skjalg Lepsoy , Gianluca Francini , Fabrizio Antonelli
IPC分类号： G06F17/30
CPC分类号： G06F17/3069 , G06F17/30616 , G06Q30/02
摘要： A method of content recommendation, includes: generating a first digital mathematical representation of contents to associate the contents with a first plurality of words describing the contents; generating a second digital mathematical representation of text documents different from the contents to associate the documents with a second plurality of words; processing the first and second pluralities of words to determine a common plurality of words; processing the first and second digital mathematical representations to generate a common digital mathematical representation of the contents and the text documents based on the common plurality of words; and providing content recommendation by processing the common digital mathematical representation.
摘要翻译：一种内容推荐方法，包括：生成内容的第一数字数学表示，以将内容与描述内容的第一多个单词相关联; 生成不同于所述内容的文本文档的第二数字数学表示，以将所述文档与第二多个单词相关联; 处理第一和第二多个单词以确定常用的多个单词; 处理第一和第二数字数学表示以基于共同的多个单词生成内容和文本文档的公共数字数学表示; 并通过处理公共数字数学表示来提供内容推荐。

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