Systems and methods of merging multiple maps for computer vision based tracking
    3.
    发明授权
    Systems and methods of merging multiple maps for computer vision based tracking 有权
    合并多个地图的系统和方法,用于基于计算机视觉的跟踪

    公开(公告)号:US09177404B2

    公开(公告)日:2015-11-03

    申请号:US13830664

    申请日:2013-03-14

    CPC classification number: G06T11/60 G06K9/3241 G06K9/38 G06T7/579

    Abstract: Method, apparatus, and computer program product for merging multiple maps for computer vision based tracking are disclosed. In one embodiment, a method of merging multiple maps for computer vision based tracking comprises receiving a plurality of maps of a scene in a venue from at least one mobile device, identifying multiple keyframes of the plurality of maps of the scene, and merging the multiple keyframes to generate a global map of the scene.

    Abstract translation: 公开了用于合并用于基于计算机视觉的跟踪的多个地图的方法,装置和计算机程序产品。 在一个实施例中,合并用于基于计算机视觉的跟踪的多个地图的方法包括从至少一个移动设备接收场地中的场景的多个地图,识别场景的多个地图中的多个关键帧,并且合并多个 关键帧生成场景的全局映射。

    Gyroscope conditioning and gyro-camera alignment
    4.
    发明授权
    Gyroscope conditioning and gyro-camera alignment 有权
    陀螺仪调节和陀螺仪相机对准

    公开(公告)号:US09013617B2

    公开(公告)日:2015-04-21

    申请号:US13651055

    申请日:2012-10-12

    CPC classification number: G01C25/00 G06T7/73 G06T2207/10016 G06T2207/30244

    Abstract: An apparatus and method for generating parameters for an application, such as an augmented reality application (AR app), using camera pose and gyroscope rotation is disclosed. The parameters are estimated based on pose from images and rotation from a gyroscope (e.g., using least-squares estimation with QR factorization or a Kalman filter). The parameters indicate rotation, scale and/or non-orthogonality parameters and optionally gyroscope bias errors. In addition, the scale and non-orthogonality parameters may be used for conditioning raw gyroscope measurements to compensate for scale and non-orthogonality.

    Abstract translation: 公开了一种使用相机姿态和陀螺仪旋转来生成诸如增强现实应用(AR app)的应用的参数的装置和方法。 基于来自图像的姿态和来自陀螺仪的旋转来估计参数(例如,使用具有QR因子分解的最小二乘估计或卡尔曼滤波器)。 参数表示旋转,刻度和/或非正交性参数以及可选的陀螺仪偏置误差。 此外,尺度和非正交性参数可用于调节原始陀螺仪测量以补偿比例和非正交性。

    INTERACTIVE AND AUTOMATIC 3-D OBJECT SCANNING METHOD FOR THE PURPOSE OF DATABASE CREATION
    5.
    发明申请
    INTERACTIVE AND AUTOMATIC 3-D OBJECT SCANNING METHOD FOR THE PURPOSE OF DATABASE CREATION 有权
    用于数据库创建目的的交互式和自动三维对象扫描方法

    公开(公告)号:US20140363048A1

    公开(公告)日:2014-12-11

    申请号:US14302056

    申请日:2014-06-11

    Abstract: Systems, methods, and devices are described for capturing compact representations of three-dimensional objects suitable for offline object detection, and storing the compact representations as object representation in a database. One embodiment may include capturing frames of a scene, identifying points of interest from different key frames of the scene, using the points of interest to create associated three-dimensional key points, and storing key points associated with the object as an object representation in an object detection database.

    Abstract translation: 描述了用于捕获适合于离线对象检测的三维对象的紧凑表示以及将紧凑表示作为对象表示存储在数据库中的系统,方法和设备。 一个实施例可以包括捕获场景的帧,使用感兴趣点来识别来自场景的不同关键帧的兴趣点,以创建相关联的三维关键点,以及将与对象相关联的关键点存储为对象表示。 对象检测数据库。

    GYROSCOPE CONDITIONING AND GYRO-CAMERA ALIGNMENT
    6.
    发明申请
    GYROSCOPE CONDITIONING AND GYRO-CAMERA ALIGNMENT 有权
    GYROSCOPE调节和GYRO相机对齐

    公开(公告)号:US20140104445A1

    公开(公告)日:2014-04-17

    申请号:US13651055

    申请日:2012-10-12

    CPC classification number: G01C25/00 G06T7/73 G06T2207/10016 G06T2207/30244

    Abstract: An apparatus and method for generating parameters for an application, such as an augmented reality application (AR app), using camera pose and gyroscope rotation is disclosed. The parameters are estimated based on pose from images and rotation from a gyroscope (e.g., using least-squares estimation with QR factorization or a Kalman filter). The parameters indicate rotation, scale and/or non-orthogonality parameters and optionally gyroscope bias errors. In addition, the scale and non-orthogonality parameters may be used for conditioning raw gyroscope measurements to compensate for scale and non-orthogonality.

    Abstract translation: 公开了一种使用相机姿态和陀螺仪旋转来生成诸如增强现实应用(AR app)的应用的参数的装置和方法。 基于来自图像的姿态和来自陀螺仪的旋转来估计参数(例如,使用具有QR因子分解的最小二乘估计或卡尔曼滤波器)。 参数表示旋转,刻度和/或非正交性参数以及可选的陀螺仪偏置误差。 此外,尺度和非正交性参数可用于调节原始陀螺仪测量以补偿比例和非正交性。

    DETERMINING CAPACITY OF SEARCH STRUCTURES
    7.
    发明申请
    DETERMINING CAPACITY OF SEARCH STRUCTURES 有权
    确定搜索结构的能力

    公开(公告)号:US20140059037A1

    公开(公告)日:2014-02-27

    申请号:US13802082

    申请日:2013-03-13

    Abstract: A system for storing target images for object recognition predicts a querying performance for the target image if the target image were included in a search tree of a database. The search tree has a universal search tree structure that is fixed so that it does not change with the addition of new target images. The target image is selected for inclusion or exclusion in the search tree based on the based on the querying performance, wherein the fixed tree structure of the search tree does not change if inclusion of the target image is selected.

    Abstract translation: 如果目标图像被包括在数据库的搜索树中,则用于存储用于对象识别的目标图像的系统预测目标图像的查询性能。 搜索树具有固定的通用搜索树结构,使得它不随着添加新的目标图像而改变。 基于查询性能,在搜索树中选择目标图像以包含或排除,其中如果选择了包含目标图像,搜索树的固定树结构不改变。

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