DEPTH OF FIELD IMAGE REFOCUSING
    4.
    发明申请

    公开(公告)号:US20220006998A1

    公开(公告)日:2022-01-06

    申请号:US17479911

    申请日:2021-09-20

    Abstract: An image processing device comprising a processor configured to generate a refocused image from an input image and an map indicating depth information for the image, by the steps of: for each of a plurality of planes associated with respective depths within the image: generating a depth mask having values indicating whether regions of the input image are within a specified range of the plane, wherein an assessment of whether a region is within the specified range of the plane is made through the evaluation of a differentiable function of the range between regions of the input image and the plane as determined from the map; generating a masked image from the input image and the generated depth mask; refocusing the masked image using a blurring kernel to generate a refocused partial image; and generating the refocussed image from the plurality of refocussed partial images.

    FEATURE DETECTOR AND DESCRIPTOR
    5.
    发明申请

    公开(公告)号:US20220245922A1

    公开(公告)日:2022-08-04

    申请号:US17726684

    申请日:2022-04-22

    Abstract: The technology of this application related to an image processor comprising a plurality of modules, the plurality of modules comprising a first module and a second module, wherein the image processor is configured to receive an input image and output a plurality of mathematical descriptors for characteristic regions of the input image. The first module is configured to implement a first trained artificial intelligence model to detect a set of characteristic regions in the input image; and the second module is configured to implement a second trained artificial intelligence model to determine a mathematical descriptor for each of said set of characteristic regions. The first and second trained artificial intelligence models are collectively trained end to end.

    DOMAIN ADAPTATION FOR DEPTH DENSIFICATION

    公开(公告)号:US20220245841A1

    公开(公告)日:2022-08-04

    申请号:US17726668

    申请日:2022-04-22

    Abstract: A method for training an environmental analysis system, the method comprising: receiving a data model of an environment; forming, in dependence on the data model, a first training input comprising a visual stream representing the environment as viewed from a plurality of locations; forming, in dependence on the data model, a second training input comprising a depth stream representing depths of objects in the environment relative to the plurality of locations; forming a third training input, the third training input being sparser than the second training input; and estimating, using the analysis system, in dependence on the first and third training inputs, a series of depths at less sparsity than the third training input; and adapting the analysis system in dependence on a comparison between the estimated series of depths and the second training input.

    TIME-OF-FLIGHT DEPTH ENHANCEMENT
    7.
    发明申请

    公开(公告)号:US20220222839A1

    公开(公告)日:2022-07-14

    申请号:US17586034

    申请日:2022-01-27

    Abstract: An image processing system configured to receive an input time-of-flight depth map representing the distance of objects in an image from a camera at a plurality of locations of pixels in the respective image, and in dependence on that map to generate an improved time-of-flight depth map for the image, the input time-of-flight depth map having been generated from at least one correlation image representing the overlap between emitted and reflected light signals at the plurality of locations of pixels at a given phase shift, the system being configured to generate the improved time-of-flight depth map from the input time-of-flight depth map in dependence on a colour representation of the respective image and at least one correlation image.

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