Shape-based edge detection
    1.
    发明授权

    公开(公告)号:US11354879B1

    公开(公告)日:2022-06-07

    申请号:US16733724

    申请日:2020-01-03

    Inventor: Ning Yao Qiang Liu

    Abstract: Techniques are described for detecting a periphery of a surface based on a point set representing the surface. The surface may correspond to a display medium upon which content is projected. A shape model may be matched and aligned to a contour of the point set. A periphery or edge of the surface and corresponding display medium may be determined based on the aligned shape model.

    Surface distance determination using reflected light
    6.
    发明授权
    Surface distance determination using reflected light 有权
    使用反射光进行表面距离测定

    公开(公告)号:US09562966B1

    公开(公告)日:2017-02-07

    申请号:US14742218

    申请日:2015-06-17

    Abstract: A distance between a light source and a surface may be determined by emitting pulses of light from the light source and measuring an intensity of the light after the light reaches the surface. To determine a true distance, aliased distances, which are outside of a known distance segment, are disregarded. The distance segment may be defined by a modulation period of light emitted by the light source. The distance segment may be determined based on a ratio of a measured intensity of light captured during a first time interval and a second time interval, and a comparison of other types of evidence data that identifies a correct distance segment. The evidence data may include data associated with the amplitude (intensity) of the light captured, temporal variations in data, and/or analysis data collected from other surfaces that are adjacent to the surface.

    Abstract translation: 光源和表面之间的距离可以通过发射来自光源的光的脉冲来确定,并且在光到达表面之后测量光的强度。 为了确定一个真正的距离,忽略了已知距离段以外的混叠距离。 距离段可以由光源发出的光的调制周期来定义。 距离段可以基于在第一时间间隔和第二时间间隔期间捕获的光的测量强度的比率以及识别正确距离段的其他类型的证据数据的比较来确定。 证据数据可以包括与捕获的光的振幅(强度),数据的时间变化和/或从与表面相邻的其它表面收集的分析数据相关联的数据。

    Gesture recognition from depth and distortion analysis

    公开(公告)号:US09632592B1

    公开(公告)日:2017-04-25

    申请号:US14563229

    申请日:2014-12-08

    CPC classification number: G06F3/0325 G06F3/017 G06F3/0425 H04N5/74

    Abstract: Systems and techniques for detecting gestures of a user based on analysis of acquired depth maps as well as identified distortion within one or more acquired color images. For instance, a system may project content onto a display surface within an environment. A user may then interact with the content via gestures, which may include hand gestures, gestures with a stylus or the like. In some instances, the content includes multiple selection portions, such as soft buttons, icons, and the like, that a user may select by pointing or touching with a finger or other type of selection tool. For instance, the projected content may include one or more projected icons and the user may select one of the icons by touching the display surface onto which the respective display icon is being projected.

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