GYROSCOPE CALIBRATION
    1.
    发明申请
    GYROSCOPE CALIBRATION 审中-公开
    GYROSCOPE校准

    公开(公告)号:US20150260545A1

    公开(公告)日:2015-09-17

    申请号:US14722754

    申请日:2015-05-27

    Applicant: Google Inc.

    CPC classification number: G01C25/005

    Abstract: A method and system for a non-intrusive parallel surface calibration for gyroscopes in a mobile device are described. In a mobile device having a gyroscope, multiple rotation matrices can be determined based on readings from the gyroscope. Each of these rotation matrices corresponds to a chain of rotations that occur when the mobile device is picked up from a surface and later placed down on any substantially parallel surface. In some instances, three or more rotation matrices can be determined. Calibration parameters can be computed from the rotation matrices and can be used to adjust subsequent readings from the gyroscope. An eigenvector can be determined for each of the rotation matrices and those eigenvectors can be used to obtain the calibration parameters through an optimization process. The gyroscope calibration can be triggered by a change in the temperature of the mobile device.

    Abstract translation: 描述了用于移动设备中的陀螺仪的非侵入式平行表面校准的方法和系统。 在具有陀螺仪的移动设备中,可以基于来自陀螺仪的读数确定多个旋转矩阵。 这些旋转矩阵中的每一个对应于当从表面拾取移动装置并且稍后放置在任何基本平行的表面上时发生的旋转链。 在一些情况下,可以确定三个或更多个旋转矩阵。 可以根据旋转矩阵计算校准参数,并可用于调整陀螺仪后续读数。 可以为每个旋转矩阵确定特征向量,并且可以使用那些特征向量通过优化处理来获得校准参数。 可以通过移动设备的温度变化来触发陀螺仪校准。

    OPTICAL FLOW BASED AUTO FOCUS
    2.
    发明申请

    公开(公告)号:US20170353653A1

    公开(公告)日:2017-12-07

    申请号:US15173306

    申请日:2016-06-03

    Applicant: Google Inc.

    CPC classification number: H04N5/23212 G03B13/36 G06K9/3233 H04N5/144

    Abstract: A method is described that includes identifying a set of features of an object, the features being tracked in an image captured by a camera. The method also includes creating a field of vectors for the reference points. The vectors indicate magnitude and direction of change in position of the reference points across more than one frame of the image. The method further includes identifying existence of out of plane movement of the object's features from same radial orientation of the vectors. The method further includes determining an amount of closer/farther movement of the object's features to/from the camera from change in distances between a plurality of the reference points. The method further includes adjusting a position of camera's lens in view of the amount of closer/farther movement of the object's features to keep the camera focused on the object.

    Statistics Operations On Two Dimensional Image Processor

    公开(公告)号:US20180005059A1

    公开(公告)日:2018-01-04

    申请号:US15201134

    申请日:2016-07-01

    Applicant: Google Inc.

    CPC classification number: G06K9/00986 G06T1/20 G11C19/00

    Abstract: A method is described that includes loading an array of content into a two-dimensional shift register. The two-dimensional shift register is coupled to an execution lane array. The method includes repeatedly performing a first sequence that includes: shifting with the shift register first content residing along a particular row or column into another parallel row or column where second content resides and performing mathematical operations with a particular corresponding row or column of the execution lane array on the first and second content. The method also includes repeatedly performing a second sequence that includes: shifting with the shift register content from a set of first locations along a resultant row or column that is parallel with the rows or columns of the first sequence into a corresponding set of second locations along the resultant row or column. The resultant row or column has values determined at least in part from the mathematical operations of the first sequence. The second sequence further includes performing mathematical operations on items of content from the set of first locations and respective items of content from the set of second locations with the execution lane array.

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