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    Method and apparatus for camera autofocus based on Wi-Fi ranging technique
    1.
    发明授权
    Method and apparatus for camera autofocus based on Wi-Fi ranging technique 有权
    基于Wi-Fi测距技术的摄像机自动对焦方法和装置

    公开(公告)号：US09423669B2

    公开(公告)日：2016-08-23

    申请号：US14532937

    申请日：2014-11-04

    Applicant: QUALCOMM Incorporated

    Inventor： Ruiduo Yang ,  Xinzhou Wu ,  Feng Guo ,  Ning Bi

    IPC: G03B13/36 ,  H04N5/232 ,  H04W64/00

    CPC classification number: G03B13/36 ,  H04N5/23206 ,  H04N5/23212 ,  H04W64/003

    Abstract: Methods and apparatus for capturing an image using an automatic focus are disclosed herein. In one aspect, a method is disclosed which includes communicating, using a camera, with a wireless device via a wireless communication network. The method further includes determining a distance between the camera and the wireless device using the wireless communication network and adjusting a focus of the camera based upon the determined distance. Finally, the method includes capturing an image using the adjusted focus of the camera. In some aspects, this method may be done on a smartphone or digital camera which includes Wi-Fi capabilities.

    Abstract translation: 本文公开了使用自动对焦来拍摄图像的方法和装置。 在一个方面，公开了一种方法，其包括使用相机经由无线通信网络与无线设备进行通信。 该方法还包括使用无线通信网络确定摄像机和无线设备之间的距离，并且基于所确定的距离来调整摄像机的焦点。 最后，该方法包括使用相机的调整焦点拍摄图像。 在某些方面，该方法可以在包括Wi-Fi功能的智能电话或数码相机上完成。

    Method and apparatus for facial recognition
    2.
    发明授权
    Method and apparatus for facial recognition 有权
    用于面部识别的方法和装置

    公开(公告)号：US09183429B2

    公开(公告)日：2015-11-10

    申请号：US13744906

    申请日：2013-01-18

    Applicant: QUALCOMM Incorporated

    Inventor： Yingyong Qi ,  Ning Bi ,  Feng Guo

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46

    CPC classification number: G06K9/00221 ,  G06K9/00288 ,  G06K9/6232 ,  G06K9/6255 ,  G06K2009/4666

    Abstract: Apparatus and methods for facial detection are disclosed. A plurality of images of an observed face is received for identification. Based at least on two or more selected images of the plurality of images, a template of the observed face is generated. In some embodiments, the template is a subspace generated based on feature vectors of the plurality of received images. A database of identities and corresponding facial data of known persons is searched based at least on the template of the observed face and the facial data of the known persons. One or more identities of the known persons are selected based at least on the search.

    Abstract translation: 公开了用于面部检测的装置和方法。 接收观察面的多张图像进行识别。 至少基于多个图像中的两个或更多个所选择的图像，生成观察到的面部的模板。 在一些实施例中，模板是基于多个接收图像的特征向量生成的子空间。 至少基于所观察到的面部的模板和已知人的面部数据来搜索已知人的身份和对应面部数据的数据库。 至少基于搜索来选择已知人的一个或多个身份。

    SYSTEMS AND METHODS FOR PRODUCING A THREE-DIMENSIONAL FACE MODEL
    3.
    发明申请
    SYSTEMS AND METHODS FOR PRODUCING A THREE-DIMENSIONAL FACE MODEL 有权
    用于生成三维面模型的系统和方法

    公开(公告)号：US20150009207A1

    公开(公告)日：2015-01-08

    申请号：US13936867

    申请日：2013-07-08

    Applicant: QUALCOMM Incorporated

    Inventor： Feng Guo ,  Ning Bi ,  Yingyong Qi

    IPC: G06T15/00

    CPC classification number: G06T15/00 ,  G06K9/00208 ,  G06T7/593 ,  G06T2207/30201

    Abstract: A method for three-dimensional face generation is described. An inverse depth map is calculated based on a depth map and an inverted first matrix. The inverted first matrix is generated from two images in which pixels are aligned vertically and differ horizontally. The inverse depth map is normalized to correct for distortions in the depth map caused by image rectification. A three-dimensional face model is generated based on the inverse depth map and one of the two images.

    Abstract translation: 描述用于三维面部生成的方法。 基于深度图和倒置的第一矩阵计算反深度图。 反转的第一矩阵从两个图像生成，其中像素垂直对齐并且水平不同。 归一化反相深度图以校正由图像校正导致的深度图中的失真。 基于逆深度图和两个图像之一生成三维面部模型。

    SYSTEMS AND METHODS FOR OBJECT TRACKING
    6.
    发明申请
    SYSTEMS AND METHODS FOR OBJECT TRACKING 审中-公开
    用于对象跟踪的系统和方法

    公开(公告)号：US20170053167A1

    公开(公告)日：2017-02-23

    申请号：US14829406

    申请日：2015-08-18

    Applicant: QUALCOMM Incorporated

    Inventor： Jianfeng Ren ,  Feng Guo ,  Ruiduo Yang

    IPC: G06K9/00 ,  G06T3/40 ,  G06K9/46

    Abstract: A method performed by an electronic device is described. The method includes obtaining a first frame of a scene. The method also includes performing object recognition of at least one object within a first bounding region of the first frame. The method further includes performing object tracking of the at least one object within the first bounding region of the first frame. The method additionally includes determining a second bounding region of a second frame based on the object tracking. The second frame is subsequent to the first frame. The method also includes determining whether the second bounding region is valid based on a predetermined object model.

    Abstract translation: 描述由电子设备执行的方法。 该方法包括获得场景的第一帧。 该方法还包括对第一帧的第一边界区域内的至少一个对象执行对象识别。 所述方法还包括对所述第一帧的所述第一边界区域内的所述至少一个对象进行对象跟踪。 该方法还包括基于对象跟踪来确定第二帧的第二边界区域。 第二帧在第一帧之后。 该方法还包括基于预定对象模型确定第二边界区域是否有效。

    Systems and methods for memory utilization for object detection
    7.
    发明授权
    Systems and methods for memory utilization for object detection 有权
    用于对象检测的内存利用的系统和方法

    公开(公告)号：US09286217B2

    公开(公告)日：2016-03-15

    申请号：US14468208

    申请日：2014-08-25

    Applicant: QUALCOMM Incorporated

    Inventor： Lei Xu ,  Bo Zhou ,  Michael Warren Castelloe ,  Shuxue Quan ,  Xinping Zhang ,  Junchen Du ,  Ashwath Harthattu ,  Feng Guo ,  Yingyong Qi

    IPC: G06F12/08 ,  G06K9/00

    CPC classification number: G06F12/0802 ,  G06F2212/60 ,  G06K9/00973

    Abstract: A method for memory utilization by an electronic device is described. The method includes transferring a first portion of a first decision tree and a second portion of a second decision tree from a first memory to a cache memory. The first portion and second portion of each decision tree are stored contiguously in the first memory. The first decision tree and second decision tree are each associated with a different feature of an object detection algorithm. The method also includes reducing cache misses by traversing the first portion of the first decision tree and the second portion of the second decision tree in the cache memory based on an order of execution of the object detection algorithm.

    Abstract translation: 描述了一种由电子设备进行存储器利用的方法。 该方法包括将第一决策树的第一部分和第二决策树的第二部分从第一存储器传送到高速缓冲存储器。 每个决策树的第一部分和第二部分被连续地存储在第一存储器中。 第一决策树和第二决策树各自与对象检测算法的不同特征相关联。 该方法还包括通过基于对象检测算法的执行顺序遍历高速缓冲存储器中的第一决策树的第一部分和第二决策树的第二部分来减少高速缓存未命中。

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