公开(公告)号：US20230401799A1

公开(公告)日：2023-12-14

申请号：US18455507

申请日：2023-08-24

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhihao LI ,  Bin SHAO ,  Xiaofei WU ,  Zhensong ZHANG

IPC: G06T19/00 ,  G06T19/20 ,  G06T5/50 ,  G06V10/26 ,  G06V10/74

CPC classification number: G06T19/006 ,  G06T19/20 ,  G06T5/50 ,  G06V10/26 ,  G06V10/761 ,  G06T2219/2004 ,  G06T2219/2016 ,  G06T2207/20221

Abstract: This application provides an augmented reality method, to dynamically associate an orientation of a virtual object with an orientation of a real object. The method in this application includes: obtaining a target image shot by a camera and first location information of a first object in the target image; obtaining second location information of a second object in a three-dimensional coordinate system and third location information of a third object in the three-dimensional coordinate system; obtaining a pose variation of the first object relative to the second object based on the first location information and the second location information; transforming the third location information based on the pose variation, to obtain fourth location information of the third object in the three-dimensional coordinate system; and rendering the third object in the target image based on the fourth location information, to obtain a new target image.

公开(公告)号：US20230020965A1

公开(公告)日：2023-01-19

申请号：US17951271

申请日：2022-09-23

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jun YUE ,  Li QIAN ,  Songcen XU ,  Bin SHAO

IPC: G06V10/774 ,  G06V10/74 ,  G06V10/80 ,  G06V10/26 ,  G06V10/46 ,  G06V10/764

Abstract: This application provides a method and apparatus for updating an object recognition model in the field of artificial intelligence. In the technical solution provided in this application, a target image and first voice information of a user are obtained. The first voice information indicates a first category of a target object in the target image. A feature library of a first object recognition model is updated based on the target image and the first voice information. The updated first object recognition model includes a feature of the target object and a first label indicating the first category, and the feature of the target object corresponds to the first label. A recognition rate of an object recognition model can be improved more easily according to the technical solution provided in this application.

公开(公告)号：US20220335619A1

公开(公告)日：2022-10-20

申请号：US17853799

申请日：2022-06-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Kunyang SUN ,  Hao CHEN ,  Chunhua SHEN ,  Youliang YAN ,  Bin SHAO ,  Songcen XU

IPC: G06T7/12 ,  G06T3/40

Abstract: An instance segmentation method and apparatus are provided. A to-be-trained segmentation network performs the following processing on each instance group that is in a sample original image and that is of pixels of a marked instance, where each instance group includes at least one marked instance, and the processing includes: predicting at least two different first basic feature maps and a first attention feature map corresponding to each first basic feature map; performing weighted processing on the at least two first basic feature maps and pixel values of respective first attention feature maps corresponding to the at least two first basic feature maps, to obtain a first feature fusion map; and training the to-be-trained segmentation network based on the first feature fusion map and the sample original image. A segmentation model can precisely determine pixels of an instance in an original image.