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公开(公告)号:US11943419B2
公开(公告)日:2024-03-26
申请号:US17479911
申请日:2021-09-20
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Benjamin Busam , Matthieu Hog , Steven George McDonagh , Gregory Slabaugh
IPC: G06T7/593 , G06N20/00 , H04N13/128 , H04N13/00
CPC classification number: H04N13/128 , G06N20/00 , G06T7/593 , G06T2207/10028 , H04N2013/0081
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.
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公开(公告)号:US12125223B2
公开(公告)日:2024-10-22
申请号:US17586034
申请日:2022-01-27
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Benjamin Busam , Patrick Ruhkamp , Matthieu Hog , Yannick Verdie , Ales Leonardis , Gregory Slabaugh
IPC: G06T7/514
CPC classification number: G06T7/514 , G06T2207/10024 , G06T2207/20081
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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公开(公告)号:US12124962B2
公开(公告)日:2024-10-22
申请号:US17726684
申请日:2022-04-22
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Axel Barroso Laguna , Yannick Verdie , Benjamin Busam , Ales Leonardis , Gregory Slabaugh
CPC classification number: G06N3/088 , G06V10/25 , G06V10/454 , G06V10/462 , G06V10/774 , G06V10/82
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.
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公开(公告)号:US12260575B2
公开(公告)日:2025-03-25
申请号:US17513596
申请日:2021-10-28
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Benjamin Busam , Gregory Slabaugh
Abstract: Disclosed is an image processing device comprising a processor configured to estimate the scale of image features by the steps of: processing multiple images of a scene by means of a first trained model to identify features in the images and to estimate the depths of those features in the images; processing the multiple images by a second trained model to estimate a scaling for the images; and estimating the scales of the features by adjusting the estimated depths in dependence on the estimated scaling. A method for training an image processing model is also disclosed.
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公开(公告)号:US20250103891A1
公开(公告)日:2025-03-27
申请号:US18906358
申请日:2024-10-04
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Axel BARROSO LAGUNA , Yannick Verdie , Benjamin Busam , Ales Leonardis , Gregory Slabaugh
Abstract: 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, wherein: 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; wherein the first and second trained artificial intelligence models are collectively trained end to end.
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公开(公告)号:US12165346B2
公开(公告)日:2024-12-10
申请号:US17969992
申请日:2022-10-20
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Jifei Song , Benjamin Busam , Eduardo Perez Pellitero , Gregory Slabaugh , Ales Leonardis
IPC: G06T7/00 , G06T7/593 , H04N13/15 , H04N13/239 , H04N13/257 , H04N13/271 , H04N25/13 , H04N13/00
Abstract: The present disclosure relates to methods and devices for performing depth estimation on image data. In one example, a device performs depth estimation on first and second images captured using one or more cameras having a color filter array. Each image of the first and second images comprises multiple color channels. Each color channel of the multiple color channels corresponds to a respective color channel of the color filter array. The device performs the depth estimation by estimating disparity from the color channels of the first and second images.
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