Method and Apparatus for Centering Swivel Views
    4.
    发明申请
    Method and Apparatus for Centering Swivel Views 有权
    用于定心旋转视图的方法和装置

    公开(公告)号:US20150163402A1

    公开(公告)日:2015-06-11

    申请号:US14101606

    申请日:2013-12-10

    Applicant: Google Inc.

    CPC classification number: G06T15/205 G06T7/246 G06T2207/10016 H04N5/2627

    Abstract: Methods and an apparatus for centering swivel views are disclosed. An example method involves a computing device identifying movement of a pixel location of a 3D object within a sequence of images. Each image of the sequence of images may correspond to a view of the 3D object from a different angular orientation. Based on the identified movement of the pixel location of the 3D object, the computing device may estimate movement parameters of at least one function that describes a location of the 3D object in an individual image. The computing device may also determine for one or more images of the sequence of images a respective modification to the image using the estimated parameters of the at least one function. And the computing device may adjust the pixel location of the 3D object within the one or more images based on the respective modification for the image.

    Abstract translation: 公开了一种用于对中旋转视图的方法和装置。 示例性方法涉及计算设备,其识别图像序列内的3D对象的像素位置的移动。 图像序列的每个图像可以对应于来自不同角度取向的3D对象的视图。 基于所识别出的3D对象的像素位置的移动,计算设备可以估计在单个图像中描述3D对象的位置的至少一个功能的移动参数。 计算设备还可以使用至少一个功能的估计参数来确定图像序列的一个或多个图像对图像的相应修改。 并且计算设备可以基于对于图像的相应修改来调整一个或多个图像内的3D对象的像素位置。

    Method and apparatus for centering swivel views
    8.
    发明授权
    Method and apparatus for centering swivel views 有权
    用于定心旋转视图的方法和装置

    公开(公告)号:US09449426B2

    公开(公告)日:2016-09-20

    申请号:US14101606

    申请日:2013-12-10

    Applicant: Google Inc.

    CPC classification number: G06T15/205 G06T7/246 G06T2207/10016 H04N5/2627

    Abstract: Methods and an apparatus for centering swivel views are disclosed. An example method involves a computing device identifying movement of a pixel location of a 3D object within a sequence of images. Each image of the sequence of images may correspond to a view of the 3D object from a different angular orientation. Based on the identified movement of the pixel location of the 3D object, the computing device may estimate movement parameters of at least one function that describes a location of the 3D object in an individual image. The computing device may also determine for one or more images of the sequence of images a respective modification to the image using the estimated parameters of the at least one function. And the computing device may adjust the pixel location of the 3D object within the one or more images based on the respective modification for the image.

    Abstract translation: 公开了一种用于对中旋转视图的方法和装置。 示例性方法涉及计算设备,其识别图像序列内的3D对象的像素位置的移动。 图像序列的每个图像可以对应于来自不同角度取向的3D对象的视图。 基于所识别出的3D对象的像素位置的移动,计算设备可以估计在单个图像中描述3D对象的位置的至少一个功能的移动参数。 计算设备还可以使用至少一个功能的估计参数来确定图像序列的一个或多个图像对图像的相应修改。 并且计算设备可以基于对于图像的相应修改来调整一个或多个图像内的3D对象的像素位置。

    Method and apparatus to determine focus of attention from video
    9.
    发明授权
    Method and apparatus to determine focus of attention from video 有权
    确定视频焦点的方法和装置

    公开(公告)号:US09445047B1

    公开(公告)日:2016-09-13

    申请号:US14220721

    申请日:2014-03-20

    Applicant: Google Inc.

    CPC classification number: H04N7/15 G06K9/00597 G06K9/3233

    Abstract: A method and system include identifying, by a processing device, at least one media clip captured by at least one camera for an event, detecting at least one human object in the at least one media clip, and calculating, by the processing device, a region in the at least one media clip containing a focus of attention of the detected human object.

    Abstract translation: 方法和系统包括由处理设备识别由至少一个摄像机捕获的用于事件的至少一个媒体剪辑,检测至少一个媒体剪辑中的至少一个人物,并且由处理设备计算一个 所述至少一个媒体剪辑中的区域包含所检测到的人类对象的关注焦点。

    Motion-based feature correspondence

    公开(公告)号:US10580145B1

    公开(公告)日:2020-03-03

    申请号:US15838166

    申请日:2017-12-11

    Applicant: Google Inc.

    Abstract: A system and method are disclosed for motion-based feature correspondence. A method may include detecting a first motion of a first feature across two or more first frames of a first video clip captured by a first video camera and a second motion of a second feature across two or more second frames of a second video clip captured by a second video camera. The method may further include determining, based on the first motion in the first video clip and the second motion in the second video clip, that the first feature and the second feature correspond to a common entity, the first motion in the first video clip and the second motion in the second video clip corresponding to one or more common points in time in the first video clip and the second video clip.

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