Finger detection in 3D point cloud

    公开(公告)号:US09607215B1

    公开(公告)日:2017-03-28

    申请号:US14495629

    申请日:2014-09-24

    Inventor: Manika Puri

    CPC classification number: G06K9/00355 G06K2209/40

    Abstract: Techniques are described for detecting the presence and positions of fingers using depth information. For each of multiple target points represented by a depth image, an evaluation is performed using a region of points surrounding the pixel. The region has an inner zone and side zones. Multiple iterations are performed for each target pixel, with different sizes and orientations of the region being used in the different iterations. An average depth and an average surface normal direction are determined for each zone. The average depth and average surface normal direction of the inner zone are compared to the average depths and the average surface normal directions of the side zones to determine whether the target pixel is part of a finger.

    Feature-based pose detection
    2.
    发明授权

    公开(公告)号:US09740924B1

    公开(公告)日:2017-08-22

    申请号:US14498160

    申请日:2014-09-26

    Abstract: In order to classify the presented pose of a human hand, a feature distribution map of the pose is compared to reference feature distribution maps. To generate a feature distribution map, each contour point of a hand is analyzed to determine a corresponding feature set. The feature set of a contour point includes a distance feature and an angle feature of the contour point in relation to one of its neighboring contour points. The feature sets generated from an observed pose are compared to feature sets of reference poses to determine which of the reference poses most closely matches the presented pose.

    Scene change detection in image data

    公开(公告)号:US10769442B1

    公开(公告)日:2020-09-08

    申请号:US15700536

    申请日:2017-09-11

    Abstract: Techniques are generally described for scene change detection. A first and second histogram representing frames of a video may be received. A Euclidean distance between the first and second histogram may be determined. A third histogram of a third frame may be received. Values of the third histogram may be compared to corresponding values of a background model of the environment. A fourth frame and a fifth frame of image data of the video may be received. A flow value between a first block of pixels of the fourth frame and a corresponding second block of pixels of the fifth frame may be determined. The flow value may be determined based on a motion vector and a sum of absolute differences between the first and second block. A portion of the video may be streamed to a remote computing device if the flow value exceeds a threshold value.

    Plane-fitting edge detection
    5.
    发明授权

    公开(公告)号:US09607207B1

    公开(公告)日:2017-03-28

    申请号:US14231191

    申请日:2014-03-31

    Inventor: Manika Puri

    CPC classification number: G06K9/00201

    Abstract: Techniques are described for determining edge pixels from a depth map in order to identify edges of an object within an environment. The techniques may fit a plane to a group of pixels comprising a subject pixel and neighbors of the subject pixel. Each pixel of the group may then be classified as either an inlier pixel or an outlier pixel, and a ratio of inlier pixels to outlier pixels of the group may be calculated. The techniques then compare this ratio to a threshold ratio to designate the subject pixel as either an edge pixel or a non-edge pixel. Edge pixels designated in this manner may then be used to identify object edges and, hence, objects in the environment.

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