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.

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

IPC: G06N3/088 ,  G06V10/25 ,  G06V10/44 ,  G06V10/46 ,  G06V10/774 ,  G06V10/82

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.

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

IPC: G06N3/088 ,  G06V10/25 ,  G06V10/44 ,  G06V10/46 ,  G06V10/774 ,  G06V10/82

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.