IMAGE REFOCUSING
    21.
    发明申请
    IMAGE REFOCUSING 审中-公开

    公开(公告)号:US20190355101A1

    公开(公告)日:2019-11-21

    申请号:US16469272

    申请日:2017-01-12

    Abstract: A system and method for refocusing an image including determining a point spread function (PSF) according to region of interest (ROI) and pixel depth, and converting the PSF to a gradient domain including differentiating the PSF to reduce nonzero elements in the PSF. The technique spreads intensity of pixels into a circle of confusion per the differentiated PSF. A shape of an optical system or aperture of the imaging device may be considered.

    Segmentation of objects in videos using color and depth information

    公开(公告)号:US10475186B2

    公开(公告)日:2019-11-12

    申请号:US15190784

    申请日:2016-06-23

    Abstract: Techniques are provided for segmentation of objects in video frames. A methodology implementing the techniques according to an embodiment includes receiving image frames, including an initial reference frame, and receiving a mask to outline a region in the reference frame that contains the object to be segmented. The method also includes calculating Gaussian mixture models associated with both the masked region and a background region external to the masked region. The method further includes segmenting the object from a current frame based on a modelling of the pixels within an active area of the current frame as a Markov Random Field of nodes for cost minimization. The costs are based in part on the Gaussian mixture models. The active area is based on the segmentation of a previous frame and on an estimation of optical flow between the previous frame and the current frame.

    Disparity search range compression
    23.
    发明授权

    公开(公告)号:US10404970B2

    公开(公告)日:2019-09-03

    申请号:US15128087

    申请日:2015-11-16

    Abstract: Techniques related to disparity search range compression are discussed. Such techniques may include determining a combination of disparity search values that do not coexist in any search range of multiple search ranges each associated with pixels of an initial disparity map, compressing the combination of disparity values to a single disparity label, and performing a disparity estimation based on a disparity search label set including the single disparity label.

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