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    Gyroscope conditioning and gyro-camera alignment
    1.
    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

    Applicant: QUALCOMM Incorporated

    Inventor： Mahesh Ramachandran ,  Christopher Brunner ,  Murali R. Chari ,  Serafin Diaz Spindola

    IPC: H04N5/222 ,  G01C25/00 ,  G06T7/00

    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。

    GYROSCOPE CONDITIONING AND GYRO-CAMERA ALIGNMENT
    2.
    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

    Applicant: QUALCOMM INCORPORATED

    Inventor： Mahesh RAMACHANDRAN ,  Christopher Brunner ,  Murali R. Chari ,  Serafin Diaz Spindola

    IPC: H04N5/228

    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。

    ADAPTABLE FRAMEWORK FOR CLOUD ASSISTED AUGMENTED REALITY
    4.
    发明申请
    ADAPTABLE FRAMEWORK FOR CLOUD ASSISTED AUGMENTED REALITY 有权
    云适应现实的适应框架

    公开(公告)号：US20160284099A1

    公开(公告)日：2016-09-29

    申请号：US15179936

    申请日：2016-06-10

    Applicant: QUALCOMM Incorporated

    Inventor： Ashwin Swaminathan ,  Piyush Sharma ,  Bolan Jiang ,  Murali R. Chari ,  Serafin Diaz Spindola ,  Pawan Kumar Baheti ,  Vidya Narayanan

    IPC: G06T7/20 ,  G06T7/00

    CPC classification number: G06T7/246 ,  G06K9/00671 ,  G06T7/73 ,  G06T2207/10004

    Abstract: A mobile platform efficiently processes image data, using distributed processing in which latency sensitive operations are performed on the mobile platform, while latency insensitive, but computationally intensive operations are performed on a remote server. The mobile platform acquires image data, and determines whether there is a trigger event to transmit the image data to the server. The trigger event may be a change in the image data relative to previously acquired image data, e.g., a scene change in an image. When a change is present, the image data may be transmitted to the server for processing. The server processes the image data and returns information related to the image data, such as identification of an object in an image or a reference image or model. The mobile platform may then perform reference based tracking using the identified object or reference image or model.

    Abstract translation: 移动平台使用分布式处理来有效地处理图像数据，其中在移动平台上执行延迟敏感操作，而延迟不敏感，但在远程服务器上执行计算密集型操作。 移动平台获取图像数据，并确定是否存在将图像数据发送到服务器的触发事件。 触发事件可以是相对于先前获取的图像数据的图像数据的变化，例如图像中的场景变化。 当存在改变时，图像数据可以被发送到服务器进行处理。 服务器处理图像数据并返回与图像数据相关的信息，例如图像中的对象或参考图像或模型的识别。 然后，移动平台可以使用所识别的对象或参考图像或模型来执行基于参考的跟踪。

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