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公开(公告)号：US20130016913A1
公开(公告)日：2013-01-17
申请号：US13407357
申请日：2012-02-28
申请人： Minh-Tri Pham , Oliver Woodford , Frank Perbet , Atsuto Maki , Bjorn Stenger , Roberto Cipolla
发明人： Minh-Tri Pham , Oliver Woodford , Frank Perbet , Atsuto Maki , Bjorn Stenger , Roberto Cipolla
IPC分类号： G06K9/68
CPC分类号： G06T7/0042 , G06F17/30259 , G06K9/00214 , G06K9/2036 , G06K9/6202 , G06T3/20 , G06T3/60 , G06T7/586 , G06T7/73 , G06T2207/10024 , G06T2207/30208 , G06T2207/30244
摘要： 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, or and σt are weighting factors for ds, dr and dt respectively.
摘要翻译： 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，和＆sgr; t分别是ds，dr和dt的加权因子。
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公开(公告)号：US07970205B2
公开(公告)日：2011-06-28
申请号：US11994748
申请日：2006-12-01
IPC分类号： G06K9/62
CPC分类号： G06K9/00335 , G06T7/215 , G06T7/277 , G06T2207/10016 , G06T2207/30241
摘要： An image processing device which simultaneously secures and extracts a background image, at least two object images, a shape of each object image and motion of each object image, from among plural images, the image processing device including an image input unit (101) which accepts input of plural images; a hidden parameter estimation unit (102) which estimates a hidden parameter based on the plural images and a constraint enforcement parameter, which indicates a condition of at least one of the hidden parameters, using an iterative learning method; a constraint enforcement parameter learning unit (103) which learns a constraint enforcement parameter related to the hidden parameter using an estimation result from the hidden parameter estimation unit as a training signal; and a complementary learning unit (104) which causes the estimation of the hidden parameter and the learning of the constraint enforcement parameter, which utilize the result from the learning of the hidden parameter, to be iterated.
摘要翻译： 一种图像处理装置，其从多个图像中同时固定和提取背景图像，至少两个对象图像，每个对象图像的形状和每个对象图像的运动，所述图像处理装置包括图像输入单元（101），所述图像输入单元 接受多幅图像的输入; 使用迭代学习方法，基于所述多个图像估计隐藏参数的隐藏参数估计单元（102）和指示所述隐藏参数中的至少一个的条件的约束强制参数; 约束执行参数学习单元，使用来自所述隐藏参数估计单元的估计结果作为训练信号来学习与所述隐藏参数相关的约束强制参数; 以及补充学习单元（104），其进行隐藏参数的估计和利用来自隐藏参数的学习的结果的约束强制参数的学习。
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公开(公告)号：US20110013840A1
公开(公告)日：2011-01-20
申请号：US12919849
申请日：2008-03-14
IPC分类号： G06K9/34
CPC分类号： G06T7/215 , G06T2207/10016 , G06T2207/30196
摘要： To provide an image processing apparatus which robustly performs segmentation on an image including an object such as a moving person with its deformation. The image processing apparatus includes: an image inputting unit (101) which receives temporally successive images; a motion analyzing unit (102) which calculates motions of blocks using at least two temporally different images and calculates, based on the motions of the blocks, temporal motion trajectories of the blocks in the temporally successive images; a distance calculating unit (103) which calculates a distance which indicates a similarity of the motions of the blocks, using a temporal motion trajectory of a block i and a temporal motion trajectory of a block other than the block i calculated by the motion analyzing unit; and a nonlinear space processing unit (104) which projects the distance calculated by the distance calculating unit into a nonlinear space and performs the segmentation on a result of the projection in the nonlinear space.
摘要翻译： 提供一种图像处理装置，其对包括诸如移动人物的物体在其变形上的图像进行鲁棒地执行分割。 图像处理装置包括：图像输入单元，其接收时间上连续的图像; 运动分析单元，其使用至少两个时间上不同的图像来计算块的运动，并且基于所述块的运动来计算所述时间上连续的图像中的块的时间运动轨迹; 距离计算单元，其使用块i的时间运动轨迹和运动分析单元计算的块i之外的块的时间运动轨迹来计算指示块的运动的相似度的距离; ; 以及非线性空间处理单元，其将由距离计算单元计算出的距离投影到非线性空间中，并且对非线性空间中的投影的结果进行分割。
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公开(公告)号：US07577280B2
公开(公告)日：2009-08-18
申请号：US10535140
申请日：2003-11-13
申请人： Christelle Marie Guittet , Paul Gerard Ducksbury , Maria Petrou , Anastasios Kesidis , Roberto Cipolla , Margaret Jai Varga
发明人： Christelle Marie Guittet , Paul Gerard Ducksbury , Maria Petrou , Anastasios Kesidis , Roberto Cipolla , Margaret Jai Varga
CPC分类号： G06K9/00127 , G01N15/1475 , G06T7/0012 , G06T2207/30024
摘要： A method of measurement of mitotic activity from histopathological specimen images initially identifies image pixels with luminances corresponding to mitotic figures and selects from them a reference pixel to provide a reference color. Pixels similar to the reference color are located; image regions are grown on located pixels by adding pixels satisfying thresholds of differences to background and image region luminances. Grown regions are thresholded in area, compactness, width/height ratio, luminance ratio to background and difference between areas grown with perturbed thresholds. Grown regions are counted as indicating mitotic figures by thresholding region number, area and luminance. An alternative method of measuring mitotic activity measures a profile of an image region and counts the image region as corresponding to a mitotic figure if its profile is above a threshold at an intensity associated with mitotic figures. A mitotic figure is also indicated if the profile does not meet the previous criterion but has three other values satisfying respective threshold criteria.
摘要翻译： 从组织病理学标本图像中测量有丝分裂活性的方法最初识别具有对应于有丝分裂图的亮度的图像像素，并从中选择参考像素以提供参考色。 位于与参考色相似的像素; 通过将满足不同阈值的像素添加到背景和图像区域亮度，在位置的像素上生长图像区域。 生长区域在面积，紧凑度，宽度/高度比，背景亮度比和扰动阈值生长区域之间的差异被阈值化。 通过阈值区域数量，面积和亮度将生长区域计数为指示有丝分裂图。 测量有丝分裂活性的替代方法测量图像区域的轮廓，并且如果其分布在与有丝分裂图相关联的强度下高于阈值，则将图像区域计数为对应于有丝分裂图。 如果轮廓不符合先前的标准，但是还有三个其他值满足相应的阈值标准，则还会显示有丝分裂图。
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公开(公告)号：US10097813B2
公开(公告)日：2018-10-09
申请号：US13408488
申请日：2012-02-29
申请人： Bjorn Stenger , Atsuto Maki , Frank Perbet , Oliver Woodford , Roberto Cipolla , Robert Anderson
发明人： Bjorn Stenger , Atsuto Maki , Frank Perbet , Oliver Woodford , Roberto Cipolla , Robert Anderson
IPC分类号： H04N13/25 , H04N13/128 , H04N13/122 , H04N13/271 , H04N13/254 , G06T7/593 , H04N13/125 , H04N13/268
摘要： A system for capturing 3D image data of a scene, including three light sources, each configured to emit light at a different wavelength to the other two sources and to illuminate the scene to be captured; a first video camera configured to receive light from the light sources which has been reflected from the scene, to isolate light received from each of the light sources, and to output data relating to the image captured for each of the three light sources; a depth sensor configured to capture depth map data of the scene; and an analysis unit configured to receive data from the first video camera and process the data to obtain data relating to a normal field obtained from the images captured for each of the three light sources, and to combine the normal field data with the depth map data to capture 3D image data of the scene.
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公开(公告)号：US08849039B2
公开(公告)日：2014-09-30
申请号：US13407357
申请日：2012-02-28
申请人： Minh-Tri Pham , Oliver Woodford , Frank Perbet , Atsuto Maki , Bjorn Stenger , Roberto Cipolla
发明人： Minh-Tri Pham , Oliver Woodford , Frank Perbet , Atsuto Maki , Bjorn Stenger , Roberto Cipolla
CPC分类号： G06T7/0042 , G06F17/30259 , G06K9/00214 , G06K9/2036 , G06K9/6202 , G06T3/20 , G06T3/60 , G06T7/586 , G06T7/73 , G06T2207/10024 , G06T2207/30208 , G06T2207/30244
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US08417021B2
公开(公告)日：2013-04-09
申请号：US12089140
申请日：2006-10-12
IPC分类号： G06K9/00
CPC分类号： G06T7/579 , G06T7/557 , G06T7/586 , G06T2207/10021 , G06T2207/30264
摘要： We describe methods of characterizing a set of images to determine their respective illumination, for example for recovering the 3D shape of an illuminated object. The method comprises: inputting a first set of images of the object captured from different positions; determining frontier point data from the images, this defining a plurality of frontier points on the object and for each said frontier point a direction of a normal to the surface of the object at the frontier point, and determining data defining the image capture positions; inputting a second set of images of said object, having substantially the same viewpoint and different illumination conditions; and characterizing the second set of images said frontier point data to determine data comprising object reflectance parameter data (β) and, for each image of said second set, illumination data (L) comprising data defining an illumination direction and illumination intensity for the image.
摘要翻译： 我们描述表征一组图像的方法以确定它们各自的照明，例如用于恢复被照亮物体的3D形状。 该方法包括：输入从不同位置捕获的对象的第一组图像; 确定来自图像的边界点数据，其定义对象上的多个边界点，并为每个所述前沿点定义在边界点处的对象的表面的法线方向，以及确定定义图像捕获位置的数据; 输入所述对象的第二组图像，具有基本上相同的视点和不同的照明条件; 并且表征所述第二组图像，所述边界点数据以确定包括对象反射参数数据（＆bgr）的数据，并且对于所述第二组的每个图像，包括限定图像的照明方向和照明强度的数据的照明数据（L） 。
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8.发明申请公开(公告)号：US20120106794A1
公开(公告)日：2012-05-03
申请号：US13336330
申请日：2011-12-23
申请人： Masahiro IWASAKI , Kunio NOBORI , Ayako KOMOTO , Fabio GALASSO , Roberto CIPOLLA
发明人： Masahiro IWASAKI , Kunio NOBORI , Ayako KOMOTO , Fabio GALASSO , Roberto CIPOLLA
IPC分类号： G06K9/34
CPC分类号： G06T7/2006 , G06T7/215
摘要： A trajectory estimation apparatus includes: an image acceptance unit which accepts images that are temporally sequential and included in the video; a hierarchical subregion generating unit which generates subregions at hierarchical levels by performing hierarchical segmentation on each of the images accepted by the image acceptance unit such that, among subregions belonging to hierarchical levels different from each other, a spatially larger subregion includes spatially smaller subregions; and a representative trajectory estimation unit which estimates, as a representative trajectory, a trajectory, in the video, of a subregion included in a certain image, by searching for a subregion that is most similar to the subregion included in the certain image, across hierarchical levels in an image different from the certain image.
摘要翻译： 轨迹估计装置包括：图像接收单元，其接收时间上顺序并包括在视频中的图像; 分级子区域生成单元，其通过对由图像接收单元接受的每个图像执行分层分割，使得在属于彼此不同的分层级的子区域中，空间上较大的子区域包括空间较小的子区域，以分层级生成子区域; 以及代表性轨迹估计单元，通过搜索与特定图像中包括的该子区域最相似的子区域，通过搜索包含在特定图像中的子区域中的轨迹在视频中估计特定图像中的轨迹 图像中的图像与某些图像不同。
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公开(公告)号：US20120082381A1
公开(公告)日：2012-04-05
申请号：US13239602
申请日：2011-09-22
申请人： Atsuto MAKI , Frank PERBET , Bjorn STENGER , Oliver WOODFORD , Roberto CIPOLLA
发明人： Atsuto MAKI , Frank PERBET , Bjorn STENGER , Oliver WOODFORD , Roberto CIPOLLA
IPC分类号： G06K9/00
CPC分类号： G06K9/00369 , G06K9/4642
摘要： According to one embodiment, a method of classifying a feature in a video sequence includes selecting a target region of a frame of the video sequence, where the target region contains the feature; dividing the target region into a plurality cells, calculating histograms of optic flow with the cells comparing the histograms of optic flow for pairs of cells; and assigning the feature to a class based at least in part on the result of the comparison.
摘要翻译： 根据一个实施例，对视频序列中的特征进行分类的方法包括：选择目标区域包含该特征的视频序列的帧的目标区域; 将目标区域划分成多个单元，计算细胞的直方图，其中细胞比较细胞对的光学流的直方图; 以及至少部分地基于所述比较的结果将所述特征分配给类。
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10.发明授权公开(公告)号：US08948448B2
公开(公告)日：2015-02-03
申请号：US13336330
申请日：2011-12-23
申请人： Masahiro Iwasaki , Kunio Nobori , Ayako Komoto , Fabio Galasso , Roberto Cipolla
发明人： Masahiro Iwasaki , Kunio Nobori , Ayako Komoto , Fabio Galasso , Roberto Cipolla
CPC分类号： G06T7/2006 , G06T7/215
摘要： A trajectory estimation apparatus includes: an image acceptance unit which accepts images that are temporally sequential and included in the video; a hierarchical subregion generating unit which generates subregions at hierarchical levels by performing hierarchical segmentation on each of the images accepted by the image acceptance unit such that, among subregions belonging to hierarchical levels different from each other, a spatially larger subregion includes spatially smaller subregions; and a representative trajectory estimation unit which estimates, as a representative trajectory, a trajectory, in the video, of a subregion included in a certain image, by searching for a subregion that is most similar to the subregion included in the certain image, across hierarchical levels in an image different from the certain image.
摘要翻译： 轨迹估计装置包括：图像接收单元，其接收时间上顺序并包括在视频中的图像; 分级子区域生成单元，其通过对由图像接收单元接受的每个图像执行分层分割，使得在属于彼此不同的分层级的子区域中，空间上较大的子区域包括空间较小的子区域，以分层级生成子区域; 以及代表性轨迹估计单元，通过搜索与特定图像中包括的该子区域最相似的子区域，通过搜索包含在特定图像中的子区域中的轨迹在视频中估计特定图像中的轨迹 图像中的图像与某些图像不同。
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