公开(公告)号：US20180307924A1

公开(公告)日：2018-10-25

申请号：US16016981

申请日：2018-06-25

申请人： TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

发明人： Chao ZENG

IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/38 ,  G06K9/32 ,  G06T7/521

CPC分类号： G06K9/00818 ,  G06K9/00 ,  G06K9/3275 ,  G06K9/38 ,  G06K9/46 ,  G06K2009/487 ,  G06T7/521 ,  G06T2207/10028

摘要： A method for acquiring traffic sign information includes acquiring an image of a scene comprising a traffic sign, the image being obtained by photographing the scene, using a photographing apparatus, acquiring first laser data of the scene, the first laser data being obtained by performing laser scanning on the scene, and the first laser data being of a plurality of first laser points, performing spatial clustering on the plurality of first laser points to obtain candidate point sets, acquiring a spatial distribution feature of respective laser points in each of the candidate point sets, determining at least one point set corresponding to the traffic sign in the candidate point sets, based on the spatial distribution feature, extracting image data of the traffic sign, from the image, using the at least one point set corresponding to the traffic sign, and extracting sign information of the traffic sign, from the image data.

公开(公告)号：US20170324884A1

公开(公告)日：2017-11-09

申请号：US15520303

申请日：2014-10-30

申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

发明人： Peter Morovic ,  Jan Morovic

IPC分类号： H04N1/60 ,  G06F17/18 ,  G06K9/48

CPC分类号： H04N1/6016 ,  G06F17/18 ,  G06K2009/487 ,  H04N1/6041

摘要： Examples of a method and a system for configuring an imaging system are described. These examples involve obtaining a random sample of area coverage representations and grouping these by an estimated color, such as a colorimetric value. In each group a selected area coverage representation is determined with respect to one or more imaging attributes. A color gamut based on the random sample and the selected area coverage representations are used to generate a color mapping from an input color space to an area coverage representation space for use by the imaging system.

公开(公告)号：US09159164B2

公开(公告)日：2015-10-13

申请号：US13959406

申请日：2013-08-05

申请人： Eagle View Technologies, Inc.

发明人： Christopher Albert Ciarcia

IPC分类号： G06K9/00 ,  G06T17/05 ,  G06K9/48 ,  G06K9/62 ,  G06T7/00

CPC分类号： G06T17/05 ,  G06K9/00214 ,  G06K9/48 ,  G06K9/6211 ,  G06K2009/487 ,  G06T7/55 ,  G06T2200/08 ,  G06T2207/10032 ,  G06T2207/20076 ,  G06T2207/30184

摘要： A statistical point pattern matching technique is used to match corresponding points selected from two or more views of a roof of a building. The technique entails statistically selecting points from each of orthogonal and oblique aerial views of a roof, generating radial point patterns for each aerial view, calculating the origin of each point pattern, representing the shape of the point pattern as a radial function, and Fourier-transforming the radial function to produce a feature space plot. A feature profile correlation function can then be computed to relate the point match sets. From the correlation results, a vote occupancy table can be generated to help evaluate the variance of the point match sets, indicating, with high probability, which sets of points are most likely to match one another.

摘要翻译： 使用统计点模式匹配技术来匹配从建筑物屋顶的两个或更多个视图中选出的对应点。 该技术需要统计地从屋顶的正交和倾斜天线视图中选择点，为每个鸟瞰图生成径向点图案，计算每个点图案的原点，将点图案的形状表示为径向函数， 转换径向函数以产生特征空间图。 然后可以计算特征轮廓相关函数以使点匹配集合相关联。 从相关结果可以生成投票占有表，以帮助评估点匹配集的方差，高概率地指示哪一组点最可能相互匹配。

公开(公告)号：US06628821B1

公开(公告)日：2003-09-30

申请号：US10145580

申请日：2002-05-13

申请人： Michele Covell ,  Malcolm Slaney

发明人： Michele Covell ,  Malcolm Slaney

IPC分类号： G06K962

CPC分类号： G06K9/00281 ,  G06K9/4609 ,  G06K9/48 ,  G06K9/6211 ,  G06K2009/487

摘要： The identification of hidden data, such as feature-based control points in an image, from a set of observable data, such as the image, is achieved through a two-stage approach. The first stage involves a learning process, in which a number of sample data sets, e.g. images, are analyzed to identify the correspondence between observable data, such as visual aspects of the image, and the desired hidden data, such as the control points. Two models are created. A feature appearance-only model is created from aligned examples of the feature in the observed data. In addition, each labeled data set is processed to generate a coupled model of the aligned observed data and the associated hidden data. In the second stage of the process, the modeled feature is located in an unmarked, unaligned data set, using the feature appearance-only model. This location is used as an alignment point and the coupled model is then applied to the aligned data, giving an estimate of the hidden data values for that data set.

公开(公告)号：US20170271135A1

公开(公告)日：2017-09-21

申请号：US15532534

申请日：2014-12-08

申请人： SHIMADZU CORPORATION

发明人： Shinichi YAMAGUCHI

IPC分类号： H01J49/00 ,  G06K9/62 ,  H01J49/26 ,  G06F19/00

CPC分类号： H01J49/0036 ,  G01N27/62 ,  G06K9/6209 ,  G06K9/6221 ,  G06K9/6232 ,  G06K9/6265 ,  G06K2009/487 ,  H01J49/26

摘要： For a sample whose components are separated from each other, an MS2 analysis is repeatedly performed by an MS/MS unit to obtain MS2 spectra. Peak information is collected from the MS2 spectrum acquired for each micro area on a two-dimensional chromatogram. A principal component analysis processor performs a principal component analysis on the collected peak information to determine a principal component score reflecting an overall tendency of the peak pattern of the MS2 spectra. A factor loading calculator computes a factor loading for each m/z from the principal component score. A correlation information calculator computes the coefficient of correlation between each MS2 spectrum and the factor loadings. Since the MS2 spectra reflect the chemical structure of a contained component, a two-dimensional image created based on the coefficient of correlation shows the distribution of a component having a similar chemical structure to a component which is characteristically contained in the sample.

公开(公告)号：US20140212026A1

公开(公告)日：2014-07-31

申请号：US13844572

申请日：2013-03-15

申请人： EAGLE VIEW TECHNOLOGIES, INC.

发明人： Christopher Albert Ciarcia

IPC分类号： G06T17/00

CPC分类号： G06T17/05 ,  G06K9/48 ,  G06K9/6211 ,  G06K2009/487 ,  G06T7/55 ,  G06T2200/08 ,  G06T2207/10032 ,  G06T2207/20076 ,  G06T2207/30184

摘要： A statistical point pattern matching technique is used to match corresponding points selected from two or more views of a roof of a building. The technique statistically selecting points from each of orthogonal and oblique aerial views of a roof. generating radial point patterns for each aerial view, calculating the origin of each point pattern, representing the shape of the point pattern as a radial function, and Fourier-transforming the radial function to produce a feature space plot. A feature profile correlation function can then be computed to relate the point match sets. From the correlation results, a vote occupancy table can be generated to help evaluate the variance of the point match sets, indicating, with high probability, which sets of points are most likely to match one another.

摘要翻译： 使用统计点模式匹配技术来匹配从建筑物屋顶的两个或更多个视图中选出的对应点。 该技术统计地从屋顶的正交和倾斜天线图中选择点。 产生每个鸟瞰图的径向点图案，计算每个点图案的原点，将点图案的形状表示为径向函数，以及傅里叶变换径向函数以产生特征空间图。 然后可以计算特征轮廓相关函数以使点匹配集合相关联。 从相关结果可以生成投票占有表，以帮助评估点匹配集的方差，高概率地指示哪一组点最可能相互匹配。

公开(公告)号：US20140063191A1

公开(公告)日：2014-03-06

申请号：US14011173

申请日：2013-08-27

申请人： Accenture Global Services Limited

发明人： Cyrille Bataller ,  Alastair Partington ,  Anders Aström ,  Alessio Cavallini ,  David Mark Irish

IPC分类号： G08B13/22 ,  G07C9/00 ,  H04N13/02

CPC分类号： G07C9/00079 ,  G06K9/00208 ,  G06K9/00228 ,  G06K9/00288 ,  G06K9/00771 ,  G06K2009/487 ,  G07C9/00 ,  G07C9/00007 ,  G07C9/00158 ,  G08B13/22 ,  H04N13/275

摘要： Virtual access control may include detecting entry of a person into a virtual controlled zone, and counting and/or identifying people including the person entering into the virtual controlled zone. Virtual access control may further include determining an authorization of the person to continue through the virtual controlled zone based on a facial identification of the person, and alerting the person to stop, exit from, or continue through the virtual controlled zone based on the determined authorization. An alarm may be generated if the person violates directions provided by the alert.

摘要翻译： 虚拟访问控制可以包括检测人员进入虚拟控制区域，以及计数和/或识别人员，包括进入虚拟控制区域的人员。 虚拟访问控制可以进一步包括基于人的面部识别来确定人员通过虚拟控制区域继续的授权，并且基于所确定的授权来警告该人停止，退出或继续通过虚拟控制区域 。 如果该人违反警报提供的指示，则可能会产生警报。

公开(公告)号：US20010028731A1

公开(公告)日：2001-10-11

申请号：US09781229

申请日：2001-02-13

发明人： Michele Covell ,  Malcolm Slaney

IPC分类号： G06K009/00

CPC分类号： G06K9/00281 ,  G06K9/4609 ,  G06K9/48 ,  G06K9/6211 ,  G06K2009/487

摘要： The identification of hidden data, such as feature-based control points in an image, from a set of observable data, such as the image, is achieved through a two-stage approach. The first stage involves a learning process, in which a number of sample data sets, e.g. images, are analyzed to identify the correspondence between observable data, such as visual aspects of the image, and the desired hidden data, such as the control points. Two models are created. A feature appearance-only model is created from aligned examples of the feature in the observed data. In addition, each labeled data set is processed to generate a coupled model of the aligned observed data and the associated hidden data. In the second stage of the process, the modeled feature is located in an unmarked, unaligned data set, using the feature appearance-only model. This location is used as an alignment point and the coupled model is then applied to the aligned data, giving an estimate of the hidden data values for that data set.

摘要翻译： 通过两阶段方法，可以从一组可观察数据（如图像）中识别隐藏数据，如图像中基于特征的控制点。 第一阶段涉及学习过程，其中多个样本数据集，例如， 分析图像以识别诸如图像的视觉方面的可观察数据与期望的隐藏数据（例如控制点）之间的对应关系。 创建了两个模型。 仅从观察数据中的特征的对齐示例创建仅出现特征的模型。 此外，处理每个标记的数据集以生成对准的观察数据和相关联的隐藏数据的耦合模型。 在该过程的第二阶段，建模特征位于未标记的未对齐数据集中，使用仅特征外观模型。 该位置用作对齐点，然后将耦合的模型应用于对齐的数据，给出该数据集的隐藏数据值的估计。

公开(公告)号：US06188776B1

公开(公告)日：2001-02-13

申请号：US08651108

申请日：1996-05-21

申请人： Michele Covell ,  Christoph Bregler

发明人： Michele Covell ,  Christoph Bregler

IPC分类号： G06K900

CPC分类号： G06K9/00281 ,  G06K9/4609 ,  G06K9/48 ,  G06K9/6211 ,  G06K2009/487

摘要： The identification of hidden data, such as feature-based control points in an image, from a set of observable data, such as the image, is achieved through a two-stage approach. The first stage involves a learning process, in which a number of sample data sets, e.g. images, are analyzed to identify the correspondence between observable data, such as visual aspects of the image, and the desired hidden data, such as the control points. Two models are created. A feature appearance-only model is created from aligned examples of the feature in the observed data. In addition, each labeled data set is processed to generate a coupled model of the aligned observed data and the associated hidden data. In the image processing embodiment, these two models might be affine manifold models of an object's appearance and of the coupling between that appearance and a set of locations on the object's surface. In the second stage of the process, the modeled feature is located in an unmarked, unaligned data set, using the feature appearance-only model. This location is used as an alignment point and the coupled model is then applied to the aligned data, giving an estimate of the hidden data values for that data set. In the image processing example, the object's appearance model is compared to different image locations. The matching locations are then used as alignment points for estimating the locations on the object's surface from the appearance in that aligned image and form the coupled model.

摘要翻译： 通过两阶段方法，可以从一组可观察数据（如图像）中识别隐藏数据，如图像中基于特征的控制点。 第一阶段涉及学习过程，其中多个样本数据集，例如， 分析图像以识别诸如图像的视觉方面的可观察数据与期望的隐藏数据（例如控制点）之间的对应关系。 创建了两个模型。 仅从观察数据中的特征的对齐示例创建仅出现特征的模型。 此外，处理每个标记的数据集以生成对准的观察数据和相关联的隐藏数据的耦合模型。 在图像处理实施例中，这两个模型可以是对象的外观和该外观与物体表面上的一组位置之间的耦合的仿射歧管模型。 在该过程的第二阶段，建模特征位于未标记的未对齐数据集中，使用仅特征外观模型。 该位置用作对齐点，然后将耦合模型应用于对齐的数据，给出该数据集的隐藏数据值的估计。 在图像处理示例中，将对象的外观模型与不同的图像位置进行比较。 然后将匹配位置用作对准点，以从该对准图像中的外观估计对象表面上的位置并形成耦合模型。

公开(公告)号：US09990534B2

公开(公告)日：2018-06-05

申请号：US15258519

申请日：2016-09-07

申请人： FUJITSU TEN LIMITED

发明人： Naoshi Kakita ,  Atsushi Mino ,  Yuuki Matsumoto

IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/74 ,  G06T5/00 ,  G06T7/73 ,  G06K9/62 ,  G06K9/48

CPC分类号： G06K9/00201 ,  G06K9/00671 ,  G06K9/00785 ,  G06K9/4604 ,  G06K9/4671 ,  G06K9/6218 ,  G06K9/74 ,  G06K2009/487 ,  G06T5/00 ,  G06T7/73 ,  G06T2200/28 ,  G06T2207/10016 ,  G06T2207/30261 ,  G06T2207/30264

摘要： There is provided an image processing device. A feature point acquiring unit acquires a plurality of feature points of objects of each frame image. A grouping unit performs a grouping process of dividing the feature points into groups corresponding to the individual objects. A masking unit performs a masking process of excluding feature points included in some areas of the frame image. A highlighting-image generating unit generates highlighting images for highlighting objects of the frame image corresponding to the feature point groups. A superimposed-image generating unit superimposes the highlighting images on the frame image, thereby generating a superimposed image.