公开(公告)号：US08972565B1

公开(公告)日：2015-03-03

申请号：US13241588

申请日：2011-09-23

Applicant: Michael Brown ,  Xinyu Huang ,  Glen Grant

Inventor： Michael Brown ,  Xinyu Huang ,  Glen Grant

IPC: G06F15/16

CPC classification number: G06Q30/0246 ,  G06F9/451 ,  G06F17/30887 ,  G06Q10/063 ,  G06Q30/02 ,  G06Q30/0277 ,  H04L43/04 ,  H04L67/22

Abstract: A first set of data including a first tracking identifier for a first webpage component and a destination address for the first webpage component is accessed. A second set of data that includes an address for retrieving a second webpage component, is accessed. The address includes a second tracking identifier. Whether the second tracking identifier is the same as the first tracking identifier is determined. The second webpage component is associated with the destination address when the second tracking identifier is the same as the first tracking identifier.

Abstract translation: 访问包括第一网页部件的第一跟踪标识符和第一网页部件的目的地地址的第一组数据。 访问包括用于检索第二网页组件的地址的第二组数据。 该地址包括第二跟踪标识符。 确定第二跟踪标识符是否与第一跟踪标识符相同。 当第二跟踪标识符与第一跟踪标识符相同时，第二网页组件与目的地地址相关联。

公开(公告)号：US20130147937A1

公开(公告)日：2013-06-13

申请号：US13525511

申请日：2012-06-18

Applicant: Liu Ren ,  Xinyu Huang ,  Ruigang Yang

Inventor： Liu Ren ,  Xinyu Huang ,  Ruigang Yang

IPC: H04N7/18

CPC classification number: H04N7/18 ,  G06K9/00604 ,  G06T5/003 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/10048 ,  G06T2207/30201

Abstract: Estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. A second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution is estimated. The first mathematical relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second mathematical relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The produced image is digitally unblurred by using the blur kernel distribution defined by the calculated standard deviation.

Abstract translation: 估计用于视觉虹膜识别的模糊核心分布包括确定相机透镜的对焦位置与透镜与其图像将被透镜捕获的虹膜之间的距离之间的第一数学关系。 估计透镜的聚焦位置与限定高斯模糊核分布的标准偏差之间的第二数学关系。 第一数学关系用于基于在该时刻的生命的眼睛的实际位置来确定镜片的期望的焦点位置。 第二个数学关系用于计算定义高斯模糊核分布的标准偏差。 通过使用由计算出的标准偏差定义的模糊核心分布，产生的图像被数字化。

公开(公告)号：US08402133B1

公开(公告)日：2013-03-19

申请号：US13204305

申请日：2011-08-05

Applicant: Michael Brown ,  Xinyu Huang ,  Glen Grant

Inventor： Michael Brown ,  Xinyu Huang ,  Glen Grant

IPC: G06F15/173 ,  G06F15/16 ,  G06F9/44 ,  G06Q30/00

CPC classification number: G06Q30/0246 ,  G06F9/451 ,  G06F17/30887 ,  G06Q10/063 ,  G06Q30/02 ,  G06Q30/0277 ,  H04L43/04 ,  H04L67/22

Abstract: A position of a cursor on a display is tracked. It is detected that the cursor is in an area of the display that includes a component of a webpage. It is determined whether the component matches a designated type of component, and details of the component are stored in response to determining that the component matches a designated type of component. A user input that selects the component is detected, and details of the component are accessed in response to detecting the user input. The details of the component are sent to a collection server.

Abstract translation: 跟踪光标在显示器上的位置。 检测到光标位于显示器的包含网页的一部分的区域中。 确定组件是否与指定类型的组件匹配，并且响应于确定组件与指定类型的组件匹配而存储组件的细节。 检测到选择组件的用户输入，并且响应于检测到用户输入来访问组件的细节。 组件的详细信息将发送到收集服务器。

公开(公告)号：US08203602B2

公开(公告)日：2012-06-19

申请号：US12367069

申请日：2009-02-06

Applicant: Liu Ren ,  Xinyu Huang ,  Ruigang Yang

Inventor： Liu Ren ,  Xinyu Huang ,  Ruigang Yang

IPC: G06K9/00

CPC classification number: H04N7/18 ,  G06K9/00604 ,  G06T5/003 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/10048 ,  G06T2207/30201

Abstract: A method of estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. The first relationship is used to estimate a second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution. A position of an eye of a living being at a future point in time is predicted. A focus position of the camera lens is adjusted based upon the predicted position of the eye. The camera lens with the adjusted focus position is used to produce an image of the living being's eye at the point in time. An actual position of the living being's eye at the point in time is sensed. The first relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The calculating is based upon a difference between the adjusted focus position and the desired focus position of the lens.

Abstract translation: 估计用于视觉虹膜识别的模糊核分布的方法包括确定相机透镜的对焦位置与透镜与其图像将由透镜捕获的光圈之间的距离之间的第一数学关系。 第一关系用于估计透镜的聚焦位置与定义高斯模糊核分布的标准偏差之间的第二数学关系。 预测未来时期生活的眼睛的位置。 基于预测的眼睛位置来调整照相机镜头的对焦位置。 具有调整对焦位置的相机镜头用于在时间点上产生生命眼睛的图像。 感觉到生活在眼前的实际位置。 第一关系用于基于在该时间点的生命的眼睛的实际位置来确定镜片的期望的焦点位置。 第二个关系用于计算定义高斯模糊核分布的标准偏差。 该计算基于调整后的焦点位置与镜片的期望对焦位置之间的差异。

公开(公告)号：US20060172141A1

公开(公告)日：2006-08-03

申请号：US11341140

申请日：2006-01-27

Applicant: Xinyu Huang ,  Kenneth Reifsnider ,  Raymond England ,  Yanhai Du

Inventor： Xinyu Huang ,  Kenneth Reifsnider ,  Raymond England ,  Yanhai Du

IPC: B32B15/04 ,  B32B9/00 ,  B32B19/00

CPC classification number: H01M8/028 ,  C23C4/02 ,  C23C4/11 ,  C23C4/18 ,  H01M8/0282 ,  H01M2008/1293

Abstract: A joint comprises a first structural element, a second structural element and a seal intermediate between the first structural element and the second structural element. The seal comprises a first porous ceramic film disposed on the first structural element, a second porous ceramic film disposed on the second structural element and adjacent to the first porous ceramic film, and a filler material, wherein the filler material is interposed between the first porous ceramic film and the second porous ceramic film and/or impregnated into at least a portion of pores of the first porous ceramic film and the second porous ceramic film.

Abstract translation: 接头包括第一结构元件，第二结构元件和位于第一结构元件和第二结构元件之间的密封件。 密封件包括设置在第一结构元件上的第一多孔陶瓷膜，设置在第二结构元件上并与第一多孔陶瓷膜相邻的第二多孔陶瓷膜，以及填充材料，其中填充材料介于第一多孔陶瓷膜之间， 陶瓷膜和第二多孔陶瓷膜和/或浸渍到第一多孔陶瓷膜和第二多孔陶瓷膜的孔的至少一部分中。

公开(公告)号：US08874563B1

公开(公告)日：2014-10-28

申请号：US11842848

申请日：2007-08-21

Applicant: Michael Brown ,  Xinyu Huang ,  Glen Grant

Inventor： Michael Brown ,  Xinyu Huang ,  Glen Grant

IPC: G06F17/30

CPC classification number: G06Q30/0246 ,  G06F9/451 ,  G06F17/30887 ,  G06Q10/063 ,  G06Q30/02 ,  G06Q30/0277 ,  H04L43/04 ,  H04L67/22

Abstract: Information associated with responses and requests that result from one or more selections of a webpage component is collected. The webpage component corresponds to at least one identifier. At least one set including the at least one identifier and the collected information associated with the responses and requests is determined. A destination webpage for the webpage component corresponding to the webpage component based at least on the information associated with the responses and requests is determined.

Abstract translation: 收集与一个或多个网页组件选择产生的响应和请求相关联的信息。 网页组件对应于至少一个标识符。 确定包括至少一个标识符和与响应和请求相关联的所收集的信息的至少一个集合。 至少基于与响应和请求相关联的信息，确定与网页组件对应的网页组件的目的地网页。

公开(公告)号：US08374389B2

公开(公告)日：2013-02-12

申请号：US12367038

申请日：2009-02-06

Applicant: Liu Ren ,  Xinyu Huang ,  Ruigang Yang

Inventor： Liu Ren ,  Xinyu Huang ,  Ruigang Yang

IPC: G06K9/00

CPC classification number: H04N5/23267 ,  G06K9/00604 ,  G06T5/003 ,  G06T2207/30041

Abstract: A method of identifying a living being includes using a camera to capture a blurred visual image of an iris of the living being. The blurred visual image is digitally unblurred based on a distribution of eye image gradients in an empirically-collected sample of eye images and characteristics of pupil region. The unblurred image is processed to determine an identity of the living being.

Abstract translation: 识别生物的方法包括使用相机来捕获生物的虹膜的模糊的视觉图像。 基于经验收集的眼睛图像样本和瞳孔区域的特征，视觉图像的模糊视觉图像是基于眼图像梯度的分布而被数字化的。 处理未加密的图像以确定生命的身份。

公开(公告)号：US20100202667A1

公开(公告)日：2010-08-12

申请号：US12367038

申请日：2009-02-06

Applicant: LIU REN ,  XINYU HUANG ,  RUIGANG YANG

Inventor： LIU REN ,  XINYU HUANG ,  RUIGANG YANG

IPC: G06K9/00 ,  G06K9/40

CPC classification number: H04N5/23267 ,  G06K9/00604 ,  G06T5/003 ,  G06T2207/30041

Abstract: A method of identifying a living being includes using a camera to capture a blurred visual image of an iris of the living being. The blurred visual image is digitally unblurred based on a distribution of eye image gradients in an empirically-collected sample of eye images and characteristics of pupil region. The unblurred image is processed to determine an identity of the living being.

Abstract translation: 识别生物的方法包括使用相机来捕获生物的虹膜的模糊的视觉图像。 基于经验收集的眼睛图像样本和瞳孔区域的特征，视觉图像的模糊视觉图像是基于眼图像梯度的分布而被数字化的。 处理未加密的图像以确定生命的身份。

公开(公告)号：US20100202666A1

公开(公告)日：2010-08-12

申请号：US12367005

申请日：2009-02-06

Applicant: Liu Ren ,  Xinyu Huang ,  Ruigang Yang

Inventor： Liu Ren ,  Xinyu Huang ,  Ruigang Yang

IPC: G06K9/00 ,  H04N5/232

CPC classification number: G06K9/00604

Abstract: A method of identifying a living being includes using a time-of-flight sensor to determine a location of a face of the living being. An image of an iris of the living being is produced dependent upon the location of the face as determined by the time-of-flight sensor. The produced image is processed to determine an identity of the living being.

Abstract translation: 识别生物的方法包括使用飞行时间传感器来确定生物的脸部的位置。 根据飞行时间传感器确定的脸部位置，产生生命的虹膜的图像。 处理所产生的图像以确定生命的身份。

公开(公告)号：US08755573B2

公开(公告)日：2014-06-17

申请号：US13269519

申请日：2011-10-07

Applicant: Liu Ren ,  Xinyu Huang ,  Ruigang Yang

Inventor： Liu Ren ,  Xinyu Huang ,  Ruigang Yang

IPC: G06K9/00

CPC classification number: G06K9/00604

Abstract: A method of identifying a living being includes using a time-of-flight sensor to determine a location of a face of the living being. An image of an iris of the living being is produced dependent upon the location of the face as determined by the time-of-flight sensor. The produced image is processed to determine an identity of the living being.

Abstract translation: 识别生物的方法包括使用飞行时间传感器来确定生物的面部的位置。 根据飞行时间传感器确定的脸部位置，产生生命的虹膜的图像。 处理所产生的图像以确定生命的身份。