Efficient sub-pixel disparity estimation for all sub-aperture images from densely sampled light field cameras

    公开(公告)号:US11257235B2

    公开(公告)日:2022-02-22

    申请号:US17072784

    申请日:2020-10-16

    Abstract: A system for sub-pixel disparity estimation is described herein. The system includes memory circuitry to store image data and at least one processor to execute instructions to calculate a first disparity for a set of reference views. The reference views correspond to a first subset of views among a plurality of sub-aperture views represented in the image data. The at least one processor is to refine the first disparity to a second disparity for the reference views. The second disparity has higher precision than the first disparity. The at least one processor is to map the second disparity from the reference views to a second subset of views among the plurality of sub-aperture views different than the first subset of views.

    CAMERA CALIBRATION
    2.
    发明申请
    CAMERA CALIBRATION 审中-公开

    公开(公告)号:US20190116354A1

    公开(公告)日:2019-04-18

    申请号:US16116495

    申请日:2018-08-29

    Abstract: In some examples, a camera calibration method for calibrating a plurality of cameras includes determining a relationship between each camera and a unique coordinate system. The calibration method also includes determining a positional relationship between all of the plurality of cameras based on the relationships between each of the cameras and the unique coordinate system.

    Efficient sub-pixel disparity estimation for all sub-aperture images from densely sampled light field cameras

    公开(公告)号:US10832430B2

    公开(公告)日:2020-11-10

    申请号:US16463456

    申请日:2016-12-23

    Abstract: A system for sub-pixel disparity estimation is described herein. The system includes a plenoptic camera, a memory, and a processor. The memory is configured to store imaging data. The processor is \coupled to the memory and the plenoptic camera. The processor is to obtain a plurality of sub-aperture views, select a subset of sub-aperture views as reference views for a disparity calculation, and calculate an integer disparity for the reference views. The processor is also to refine the integer disparity to sub-pixel disparity accuracy for the reference views and propagate the sub-pixel disparity from the reference views to other views of the plurality of sub-aperture views.

    EFFICIENT SUB-PIXEL DISPARITY ESTIMATION FOR ALL SUB-APERTURE IMAGES FROM DENSELY SAMPLED LIGHT FIELD CAMERAS

    公开(公告)号:US20210035317A1

    公开(公告)日:2021-02-04

    申请号:US17072784

    申请日:2020-10-16

    Abstract: A system for sub-pixel disparity estimation is described herein. The system includes memory circuitry to store image data and at least one processor to execute instructions to calculate a first disparity for a set of reference views. The reference views correspond to a first subset of views among a plurality of sub-aperture views represented in the image data. The at least one processor is to refine the first disparity to a second disparity for the reference views. The second disparity has higher precision than the first disparity. The at least one processor is to map the second disparity from the reference views to a second subset of views among the plurality of sub-aperture views different than the first subset of views.

    EFFICIENT SUB-PIXEL DISPARITY ESTIMATION FOR ALL SUB-APERTURE IMAGES FROM DENSELY SAMPLED LIGHT FIELD CAMERAS

    公开(公告)号:US20190355139A1

    公开(公告)日:2019-11-21

    申请号:US16463456

    申请日:2016-12-23

    Abstract: A system for sub-pixel disparity estimation is described herein. The system includes a plenoptic camera, a memory, and a processor. The memory is configured to store imaging data. The processor is \coupled to the memory and the plenoptic camera. The processor is to obtain a plurality of sub-aperture views, select a subset of sub-aperture views as reference views for a disparity calculation, and calculate an integer disparity for the reference views. The processor is also to refine the integer disparity to sub-pixel disparity accuracy for the reference views and propagate the sub-pixel disparity from the reference views to other views of the plurality of sub-aperture views.

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