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    Hierarchical static shadow detection method
    1.
    发明授权
    Hierarchical static shadow detection method 有权
    分层静态阴影检测方法

    公开(公告)号：US07826640B1

    公开(公告)日：2010-11-02

    申请号：US12111566

    申请日：2008-04-29

    申请人： Jian Yao ,  ZhongFei (Mark) Zhang

    发明人： Jian Yao ,  ZhongFei (Mark) Zhang

    IPC分类号： G06K9/00 ,  H04N7/18

    CPC分类号： G06K9/342 ,  G06K9/4652

    摘要： There is provided a hierarchical shadow detection system for color aerial images. The system performs well with highly complex images as well as images having different brightness and illumination conditions. The system consists of two hierarchical levels of processing. The first level involves, pixel level classification, through modeling the image as a reliable lattice and then maximizing the lattice reliability using the EM algorithm. Next, region level verification, through further exploiting the domain knowledge is performed. Further analyses show that the MRF model based segmentation is a special case of the pixel level classification model. A quantitative comparison of the system and a state-of-the-art shadow detection algorithm clearly indicates that the new system is highly effective in detecting shadow regions in an image under different illumination and brightness conditions.

    摘要翻译： 提供了一种用于彩色航空图像的分层阴影检测系统。 该系统对高度复杂的图像以及具有不同亮度和照明条件的图像表现良好。 该系统由两个层次级别的处理组成。 第一级涉及像素级别分类，通过将图像建模为可靠的格子，然后使用EM算法最大化格点可靠性。 接下来，通过进一步利用域知识进行区域级验证。 进一步的分析表明，基于MRF模型的分割是像素级分类模型的特例。 系统和最先进的阴影检测算法的定量比较清楚地表明，新系统在不同照明和亮度条件下检测图像中的阴影区域是非常有效的。

    Hierarchical static shadow detection method
    2.
    发明授权
    Hierarchical static shadow detection method 有权
    分层静态阴影检测方法

    公开(公告)号：US07366323B1

    公开(公告)日：2008-04-29

    申请号：US10782230

    申请日：2004-02-19

    申请人： Jian Yao ,  ZhongFei (Mark) Zhang

    发明人： Jian Yao ,  ZhongFei (Mark) Zhang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/342 ,  G06K9/4652

    摘要： There is provided a hierarchical shadow detection system for color aerial images. The system performs well with highly complex images as well as images having different brightness and illumination conditions. The system consists of two hierarchical levels of processing. The first level involves, pixel level classification, through modeling the image as a reliable lattice and then maximizing the lattice reliability using the EM algorithm. Next, region level verification, through further exploiting the domain knowledge is performed. Further analysis show that the MRF model based segmentation is a special case of the pixel level classification model. A quantitative comparison of the system and a state-of-the-art shadow detection algorithm clearly indicates that the new system is highly effective in detecting shadow regions in an image under different illumination and brightness conditions.

    摘要翻译： 提供了一种用于彩色航空图像的分层阴影检测系统。 该系统对高度复杂的图像以及具有不同亮度和照明条件的图像表现良好。 该系统由两个层次级别的处理组成。 第一级涉及像素级别分类，通过将图像建模为可靠的格子，然后使用EM算法最大化格点可靠性。 接下来，通过进一步利用域知识进行区域级验证。 进一步分析表明，基于MRF模型的分割是像素级分类模型的特例。 系统和最先进的阴影检测算法的定量比较清楚地表明，新系统在不同照明和亮度条件下检测图像中的阴影区域是非常有效的。

    METHOD AND APPARATUS FOR IDENTIFIER RETRIEVAL
    4.
    发明申请
    METHOD AND APPARATUS FOR IDENTIFIER RETRIEVAL 审中-公开
    识别器检索的方法和装置

    公开(公告)号：US20120317125A1

    公开(公告)日：2012-12-13

    申请号：US13590479

    申请日：2012-08-21

    申请人： Sheng Hua Bao ,  HongLei Guo ,  Zhong Su ,  Jian Yao ,  Li Zhang ,  Shuo Zhang ,  Hui Jia Zhu

    发明人： Sheng Hua Bao ,  HongLei Guo ,  Zhong Su ,  Jian Yao ,  Li Zhang ,  Shuo Zhang ,  Hui Jia Zhu

    IPC分类号： G06F17/30

    CPC分类号： G06F16/367 ,  G06F16/20

    摘要： A method for identifier retrieval. The method can include the steps of: extracting candidate identifiers from a data source according to a source identifier; obtaining a profile of the source identifier and profiles of the candidate identifiers from the data source; and selecting a target identifier associated with the source identifier from the candidate identifiers according to the profile of the source identifier and the profiles of the candidate identifiers. The method may efficiently, accurately and rapidly find a target identifier associated with a source identifier.

    摘要翻译： 一种用于标识符检索的方法。 该方法可以包括以下步骤：根据源标识符从数据源中提取候选标识符; 从数据源获取候选标识符的源标识符和简档的简档; 以及根据源标识符的简档和候选标识符的简档，从候选标识符中选择与源标识符相关联的目标标识符。 该方法可以有效，准确和快速地找到与源标识符相关联的目标标识符。

    TORQUE TRANSMITTING DEVICE
    7.
    发明申请
    TORQUE TRANSMITTING DEVICE 有权
    扭矩传动装置

    公开(公告)号：US20100263978A1

    公开(公告)日：2010-10-21

    申请号：US12424896

    申请日：2009-04-16

    申请人： Li Chen ,  Chengliang Yin ,  Jie Shu ,  Jian Yao ,  Chunhao J. Lee ,  Chi-Kuan Kao ,  Farzad Samie ,  Yu Dong

    发明人： Li Chen ,  Chengliang Yin ,  Jie Shu ,  Jian Yao ,  Chunhao J. Lee ,  Chi-Kuan Kao ,  Farzad Samie ,  Yu Dong

    IPC分类号： B60W10/10 ,  F16D27/08 ,  F16D43/02

    CPC分类号： F16D27/115 ,  F16D27/004 ,  F16D28/00 ,  F16D2023/123

    摘要： A torque transmitting device includes a plurality of clutch plates, a ramp member that is selectively rotatable about an axis and that defines a ramp surface, a worm gear that is operatively connected to the ramp member for rotation therewith about the axis, and a roller element contacting the ramp surface. The ramp surface is configured such that, when the ramp member is rotated about the axis, the roller element exerts a reaction force on the ramp surface that urges the ramp member to move in a first axial direction and thereby transmit the reaction force to the clutch plates

    摘要翻译： 扭矩传递装置包括多个离合器片，斜面构件，其可围绕轴线选择性地旋转并且限定斜面;蜗轮，其可操作地连接到斜面构件，用于围绕所述轴线旋转;以及滚子元件 接触斜面。 坡道表面构造成使得当斜坡构件围绕轴线旋转时，滚子元件在斜坡表面上施加反作用力，该反作用力促使斜坡构件在第一轴向方向上移动，从而将反作用力传递到离合器 盘子