TRANSFORM MATRIX LEARNING FOR MULTI-SENSOR IMAGE CAPTURE DEVICES

    公开(公告)号:US20220292630A1

    公开(公告)日:2022-09-15

    申请号:US17201660

    申请日:2021-03-15

    Abstract: Artefacts in a sequence of image frames may be reduced or eliminated through modification of an input image frame to match another image frame in the sequence, such as by geometrically warping to generate a corrected image frame with a field of view matched to another frame in sequence of frames with the image frame. The warping may be performed based on a model generated from data regarding the multi-sensor device. The disparity between image frames may be modeled based on image captures from the first and second image sensor for scenes at varying depths. The model may be used to predict disparity values for captured images, and those predicted disparity values used to reduce artefacts resulting from image sensor switching. The predicted disparity values may be used in image conditions resulting in erroneous actual disparity values.

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