Context aware localization, mapping, and tracking
    12.
    发明授权
    Context aware localization, mapping, and tracking 有权
    上下文感知本地化,映射和跟踪

    公开(公告)号:US09367811B2

    公开(公告)日:2016-06-14

    申请号:US13842928

    申请日:2013-03-15

    CPC classification number: G06N7/005 G01C21/36 G06K9/00664 G06K9/00993

    Abstract: Exemplary methods, apparatuses, and systems infer a context of a user or device. A computer vision parameter is configured according to the inferred context. Performing a computer vision task, in accordance with the configured computer vision parameter. The computer vision task may by at least one of: a visual mapping of an environment of the device, a visual localization of the device or an object within the environment of the device, or a visual tracking of the device within the environment of the device.

    Abstract translation: 示例性的方法,装置和系统推断用户或设备的上下文。 根据推断的上下文配置计算机视觉参数。 根据配置的计算机视觉参数执行计算机视觉任务。 计算机视觉任务可以通过以下至少一个来进行:设备的环境的视觉映射,设备的视觉定位或设备的环境内的对象,或者设备的环境内的设备的视觉跟踪 。

    Systems and methods of merging multiple maps for computer vision based tracking
    13.
    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
    14.
    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。

    ADAPTIVE SCALE AND/OR GRAVITY ESTIMATION
    15.
    发明申请
    ADAPTIVE SCALE AND/OR GRAVITY ESTIMATION 有权
    自适应尺度和/或重要度估计

    公开(公告)号:US20140126771A1

    公开(公告)日:2014-05-08

    申请号:US14014174

    申请日:2013-08-29

    CPC classification number: G06T7/004 G06T7/70 G06T7/74 G06T2207/30244

    Abstract: Systems, apparatus and methods for estimating gravity and/or scale in a mobile device are presented. A difference between an image-based pose and an inertia-based pose is using to update the estimations of gravity and/or scale. The image-based pose is computed from two poses and is scaled with the estimation of scale prior to the difference. The inertia-based pose is computed from accelerometer measurements, which are adjusted by the estimation for gravity.

    Abstract translation: 提出了用于估计移动设备中的重力和/或尺度的系统,装置和方法。 基于图像的姿势和基于惯性的姿势之间的差异正在用于更新重力和/或尺度的估计。 基于图像的姿势由两个姿态计算,并且在差异之前用缩放比例缩放。 基于惯性的姿态由加速度计测量计算,通过重力估计进行调整。

    Method for Initializing and Solving the Local Geometry or Surface Normals of Surfels Using Images in a Parallelizable Architecture
    16.
    发明申请
    Method for Initializing and Solving the Local Geometry or Surface Normals of Surfels Using Images in a Parallelizable Architecture 有权
    使用可并行化架构中的图像初始化和解决冲浪的局部几何或表面法线的方法

    公开(公告)号:US20140126768A1

    公开(公告)日:2014-05-08

    申请号:US13789577

    申请日:2013-03-07

    Abstract: A system and method is described herein for solving for surface normals of objects in the scene observed in a video stream. The system and method may include sampling the video stream to generate a set of keyframes; generating hypothesis surface normals for a set of mappoints in each of the keyframes; warping patches of corresponding mappoints in a first keyframe to the viewpoint of a second keyframe with a warping matrix computed from each of the hypothesis surface normals; scoring warping errors between each hypothesis surface normal in the two keyframes; and discarding hypothesis surface normals with high warping errors between the first and second keyframes.

    Abstract translation: 这里描述了一种解决在视频流​​中观察到的场景中的对象的表面法线的系统和方法。 系统和方法可以包括对视频流进行采样以生成一组关键帧; 为每个关键帧中的一组地图点生成假设表面法线; 将第一关键帧中的相应地图点的修补片从具有从每个假设表面法线计算的翘曲矩阵的第二关键帧的视点; 在两个关键帧之间的每个假说表面正常之间评分翘曲误差; 并且丢弃在第一和第二关键帧之间具有高翘曲误差的假设表面法线。

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