公开(公告)号：US20220295030A1

公开(公告)日：2022-09-15

申请号：US17743216

申请日：2022-05-12

Applicant: Huawei Technologies Co., Ltd.

Inventor： Daniel HERNANDEZ ,  Sarah PARISOT ,  Ales LEONARDIS ,  Gregory SLABAUGH ,  Steven George MCDONAGH

IPC: H04N9/73 ,  G06V10/60 ,  G06V10/56 ,  H04N9/64 ,  G06V10/774 ,  G06V10/82 ,  G06V10/762 ,  G06V10/764

Abstract: A device for estimating a scene illumination color for a source image is configured to: determine a set of candidate illuminants and for each of the candidate illuminants, determine a respective correction of the source image; for each of the candidate illuminants, apply the respective correction to the source image to form a corresponding set of corrected images; for each corrected image from the set of corrected images, implement a trained data-driven model to estimate a respective probability of achromaticity of the respective corrected image; and based on the estimated probabilities of achromaticity for the set of corrected images, obtain a final estimate of the scene illumination color for the source image. This approach allows for the evaluation of multiple candidate illuminates to determine an estimate of the scene illumination color.

公开(公告)号：US20230115167A1

公开(公告)日：2023-04-13

申请号：US17902025

申请日：2022-09-02

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Carlo BIFFI ,  Steven George MCDONAGH ,  Ales LEONARDIS ,  Sarah PARISOT

IPC: G06V10/764 ,  G06V10/771 ,  G06N20/20

Abstract: A device for categorising regions in images is disclosed. The device comprising: an input for receiving a first set of images, and defining one or more regions of for each image of the first set of images and a categorisation for the one or more regions, and a second set of images, and a categorisation for each image of the second set; and a processor configured to train a first machine learning algorithm to categorise features in images by: processing the images of the first and second set using the first algorithm to estimate feature regions in the images and a categorisation for each of the feature regions, and training the first algorithm in dependence on the categorisations received for the images of the first and second sets.

公开(公告)号：US20210006760A1

公开(公告)日：2021-01-07

申请号：US17031423

申请日：2020-09-24

Applicant: Huawei Technologies Co., Ltd.

Inventor： Steven George MCDONAGH ,  Sarah PARISOT ,  Gregory SLABAUGH ,  Zhenguo LI

IPC: H04N9/73 ,  G06T7/90

Abstract: A processing entity generates a model for estimating scene illumination colour for a source image captured by a camera The processing entity acquires a set of images, captured by a respective camera, the set of images as a whole including images captured by multiple cameras; forms a set of tasks by assigning each image of the images set to a respective task such that images in the same task have in common that a the images are in a predetermined range; trains model parameters by repeatedly: selecting at least one of the tasks, forming an interim set of model parameters based on a first subset of the images of that task, estimating the quality of the interim set of model parameters against a second subset of the images of that task and updating the parameters of the model based on the interim set of parameters and the estimated quality.