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    TRACKING AIRCRAFT IN A TAXI AREA
    1.
    发明申请
    TRACKING AIRCRAFT IN A TAXI AREA 审中-公开
    在TAXI地区跟踪飞机

    公开(公告)号：US20130329944A1

    公开(公告)日：2013-12-12

    申请号：US13494625

    申请日：2012-06-12

    申请人： Mahesh Kumar Gellaboina ,  Gurumurthy Swaminathan ,  Saad J. Bedros ,  Vit Libal

    发明人： Mahesh Kumar Gellaboina ,  Gurumurthy Swaminathan ,  Saad J. Bedros ,  Vit Libal

    IPC分类号： G01S13/58 ,  G06K9/46

    CPC分类号： G01S3/7864 ,  G01S2013/916 ,  G06K9/00785 ,  G08G5/06

    摘要： Tracking aircraft in a taxi area is described herein. One method includes receiving a video image of an aircraft while the aircraft is taxiing, determining a portion of the video image associated with the aircraft, determining a geographical track associated with the aircraft based, at least in part, on the portion of the video image, and mapping the determined geographical track to a coordinate system display while the aircraft is taxiing.

    摘要翻译： 这里描述了在出租车区域追踪飞机。 一种方法包括在飞机滑行时接收飞行器的视频图像，确定与飞行器相关联的视频图像的一部分，至少部分地基于视频图像的部分确定与飞行器相关联的地理轨迹 ，并且在飞机滑行时将确定的地理轨迹映射到坐标系显示。

    Handheld device having location-based features for plant workers
    3.
    发明授权
    Handheld device having location-based features for plant workers 有权
    手持式设备具有植物工作者的基于位置的功能

    公开(公告)号：US08725178B2

    公开(公告)日：2014-05-13

    申请号：US13402101

    申请日：2012-02-22

    申请人： Mohammed Ibrahim Mohideen ,  Gurumurthy Swaminathan ,  Niranjan Rao ,  Mahesh Kumar Gellaboina ,  Lokanatha Reddy J.

    发明人： Mohammed Ibrahim Mohideen ,  Gurumurthy Swaminathan ,  Niranjan Rao ,  Mahesh Kumar Gellaboina ,  Lokanatha Reddy J.

    IPC分类号： H04W24/00

    CPC分类号： H04W4/04 ,  G06Q10/00 ,  H04L67/12 ,  H04W4/043

    摘要： A method of operating an industrial plant having processing units that includes a wireless network including a network server, at least one router, and a plurality of workers including a first worker. A first handheld computing device is provided having a wireless transceiver and a processor programmed to implement a location-based service algorithm stored in non-transitory machine readable storage to a first worker. The location-based service algorithm implements obtaining location information that identifies a physical location for the first worker, and adding the location information to wireless transmissions of information by the first worker to others of the plurality of workers or to the network server. The first handheld computing device wirelessly receives server provided plant information that is a function of the physical location, and the first worker performs at least one action guided at least in part by the server provided plant information.

    摘要翻译： 一种操作具有处理单元的工厂的方法，所述处理单元包括无线网络，所述无线网络包括网络服务器，至少一个路由器以及包括第一工人的多个工作人员。 提供了第一个手持式计算设备，其具有无线收发器和被编程为将存储在非暂时机器可读存储器中的基于位置的服务算法实施到第一工人的处理器。 所述基于位置的服务算法实现获取位置信息，所述位置信息标识所述第一工作者的物理位置，并且将所述位置信息添加到所述第一工作者对所述多个工作者中的其他人或所述网络服务器的信息的无线传输。 第一手持计算设备无线地接收作为物理位置的函数的服务器提供的工厂信息，并且第一工作者至少部分地由服务器提供的工厂信息执行至少一个动作。

    Object alignment from a 2-dimensional image
    5.
    发明授权
    Object alignment from a 2-dimensional image 有权
    二维图像对象对齐

    公开(公告)号：US08941651B2

    公开(公告)日：2015-01-27

    申请号：US13228188

    申请日：2011-09-08

    申请人： Jana Trojanova ,  Saad J. Bedros ,  Gurumurthy Swaminathan ,  Yadhunandan Ullam Subbaraya

    发明人： Jana Trojanova ,  Saad J. Bedros ,  Gurumurthy Swaminathan ,  Yadhunandan Ullam Subbaraya

    IPC分类号： G06T17/20 ,  G06T17/00 ,  G06T19/00 ,  G06T15/00 ,  G06T7/00 ,  G06K9/00

    CPC分类号： G06T15/00 ,  G06K9/00208 ,  G06K9/00221 ,  G06T7/344 ,  G06T7/50 ,  G06T17/20 ,  G06T2207/30201

    摘要： The present disclosure provides methods, machine readable media, and systems for object alignment from a 2-dimensional (2-D) image of the object. One or more embodiments include defining a 2-D shape in the 2-D image and a 3-dimensional (3-D) shape in a 3-D model of the object, mapping a number of corresponding points on the 2-D and 3-D shapes, defining the 2-D and 3-D shapes with a number of triangles, wherein a number of vertices of the number of triangles correspond to the number of points, subdividing the number of triangles defining the 2-D and 3-D shapes into a plurality of subdivided triangles that include a plurality of new vertices, and reconstructuring a 3-D image from the 2-D image by assigning a number of z-coordinates from the plurality of subdivided triangles of the 3-D shape to the plurality of subdivided triangles of the 2-D shape to create a 3-D reconstructured shape.

    摘要翻译： 本公开提供了用于从对象的二维（2-D）图像进行对象对准的方法，机器可读介质和系统。 一个或多个实施例包括在对象的3-D模型中定义2-D图像中的2-D形状和3维（3-D）形状，映射2-D上的多个对应点，以及 3-D形状，定义具有多个三角形的2-D和3-D形状，其中三角形数量的顶点数目对应于点数，细分定义2-D和3的三角形的数量 -D形成包括多个新顶点的多个细分三角形，并且通过从三维形状的多个细分三角形分配多个z坐标来从2D图像重建3D图像 到2-D形状的多个细分三角形以产生3-D重建形状。

    LANDMARK LOCALIZATION FOR FACIAL IMAGERY
    6.
    发明申请
    LANDMARK LOCALIZATION FOR FACIAL IMAGERY 审中-公开
    地面图像的LANDMARK本地化

    公开(公告)号：US20120148160A1

    公开(公告)日：2012-06-14

    申请号：US12832613

    申请日：2010-07-08

    申请人： Gurumurthy Swaminathan ,  Saad J. Bedros

    发明人： Gurumurthy Swaminathan ,  Saad J. Bedros

    IPC分类号： G06K9/46

    CPC分类号： G06K9/00281

    摘要： A process and system for facial landmark detection of a face in a scene of an image includes determining face dimensions from the image, identifying regions of search for one or more facial landmarks using the face dimensions, and running a cascaded classifier and a strong classifier tailored to detect different types of facial landmarks to determine one or more respective locations of the facial landmarks. According to another example embodiment, the facial landmarks are used for face mining or face recognition, and the cascaded classifier is performed using a multi-staged AdaBoost classifier, where detections from multiple stages are utilized to enable the best location of the landmark. According to another example embodiment, the strong classifier is a support vector machine (SVM) classifier with input features processed by a principal component analysis (PCA) of the landmark subimage.

    摘要翻译： 用于面部地图检测图像场景中的面部的过程和系统包括从图像确定面部尺寸，使用面部尺寸识别搜索一个或多个面部地标的区域，以及运行级联分类器和强分类器 以检测不同类型的面部地标以确定面部地标的一个或多个相应的位置。 根据另一示例性实施例，面部地标用于面部挖掘或面部识别，并且使用多级AdaBoost分类器来执行级联分类器，其中利用来自多个级的检测来实现地标的最佳位置。 根据另一示例实施例，强分类器是具有由地标子图像的主成分分析（PCA）处理的输入特征的支持向量机（SVM）分类器。

    OBJECT ALIGNMENT FROM A 2-DIMENSIONAL IMAGE
    9.
    发明申请
    OBJECT ALIGNMENT FROM A 2-DIMENSIONAL IMAGE 有权
    二维图像对象对齐

    公开(公告)号：US20130063417A1

    公开(公告)日：2013-03-14

    申请号：US13228188

    申请日：2011-09-08

    申请人： Jana Trojanova ,  Saad J. Bedros ,  Gurumurthy Swaminathan ,  Yadhunandan U S.

    发明人： Jana Trojanova ,  Saad J. Bedros ,  Gurumurthy Swaminathan ,  Yadhunandan U S.

    IPC分类号： G06T15/00

    CPC分类号： G06T15/00 ,  G06K9/00208 ,  G06K9/00221 ,  G06T7/344 ,  G06T7/50 ,  G06T17/20 ,  G06T2207/30201

    摘要： The present disclosure provides methods, machine readable media, and systems for object alignment from a 2-dimensional (2-0) image of the object. One or more embodiments include defining a 2-D shape in the 2-D image and a 3-dimensional (3-D) shape in a 3-D model of the object, mapping a number of corresponding points on the 2-D and 3-D shapes, defining the 2-D and 3-D shapes with a number of triangles, wherein a number of vertices of the number of triangles correspond to the number of points, subdividing the number of triangles defining the 2-D and 3-D shapes into a plurality of subdivided triangles that include a plurality of new vertices, and reconstructuring a 3-D image from the 2-D image by assigning a number of z-coordinates from the plurality of subdivided triangles of the 3-D shape to the plurality of subdivided triangles of the 2-D shape to create a 3-D reconstructured shape.

    摘要翻译： 本公开提供了用于从对象的二维（2-0）图像进行对象对准的方法，机器可读介质和系统。 一个或多个实施例包括在对象的3-D模型中定义2-D图像中的2-D形状和3维（3-D）形状，映射2-D上的多个对应点，以及 3-D形状，定义具有多个三角形的2-D和3-D形状，其中三角形数量的顶点数目对应于点数，细分定义2-D和3的三角形的数量 -D形成包括多个新顶点的多个细分三角形，并且通过从三维形状的多个细分三角形分配多个z坐标来从2D图像重建3D图像 到2-D形状的多个细分三角形以产生3-D重建形状。