Techniques for parallel execution of RANSAC algorithm

    公开(公告)号:US10936766B2

    公开(公告)日:2021-03-02

    申请号:US15129816

    申请日:2014-03-27

    Abstract: Various embodiments are generally directed to techniques for employing a hybrid of sequential and parallel processing to perform random sample and consensus (RANSAC). A device to perform RANSAC includes a derivation component to derive a first set of proposed models in parallel from a first set of minimal sample sets of a data set; and a comparison component to recalculate a required quantity of proposed models to derive an accurate model if a proposed model of the first set of proposed models better fits the data set than any proposed model derived prior to derivation of the first set of proposed models, and to determine whether to derive a second set of proposed models following derivation of the first set of proposed models based on a comparison of the required quantity to a quantity of previously derived proposed models that includes the first set. Other embodiments are described and claimed.

    TECHNIQUES FOR PARALLEL EXECUTION OF RANSAC ALGORITHM

    公开(公告)号:US20170140078A1

    公开(公告)日:2017-05-18

    申请号:US15129816

    申请日:2014-03-27

    CPC classification number: G06F17/5009 G06F17/18 G06F17/50 G06F2217/16 G06T7/35

    Abstract: Various embodiments are generally directed to techniques for employing a hybrid of sequential and parallel processing to perform random sample and consensus (RANSAC). A device to perform RANSAC includes a derivation component to derive a first set of proposed models in parallel from a first set of minimal sample sets of a data set; and a comparison component to recalculate a required quantity of proposed models to derive an accurate model if a proposed model of the first set of proposed models better fits the data set than any proposed model derived prior to derivation of the first set of proposed models, and to determine whether to derive a second set of proposed models following derivation of the first set of proposed models based on a comparison of the required quantity to a quantity of previously derived proposed models that includes the first set. Other embodiments are described and claimed.

    Image frame processing including usage of acceleration data in assisting object location
    3.
    发明授权
    Image frame processing including usage of acceleration data in assisting object location 有权
    图像帧处理包括在辅助对象位置中使用加速度数据

    公开(公告)号:US09183639B2

    公开(公告)日:2015-11-10

    申请号:US14125560

    申请日:2013-09-26

    CPC classification number: G06T7/2033 G06T7/20 G06T2207/10016 G06T2207/30241

    Abstract: Apparatuses, methods and storage medium associated with computing, including processing of image frames, are disclosed herein. In embodiments, an apparatus may include an accelerometer and an image processing engine having an object tracking function. The object tracking function may be arranged to track an object from one image frame to another image frame. The object tracking function may use acceleration data output by the accelerometer to assist in locating the object in an image frame. Other embodiments may be described and claimed.

    Abstract translation: 本文公开了与计算有关的装置,方法和存储介质,包括图像帧的处理。 在实施例中,装置可以包括具有对象跟踪功能的加速度计和图像处理引擎。 对象跟踪功能可以被布置为将对象从一个图像帧跟踪到另一个图像帧。 对象跟踪功能可以使用由加速度计输出的加速度数据来帮助将对象定位在图像帧中。 可以描述和要求保护其他实施例。

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