MODELING METHOD AND RELATED ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:EP4343698A1

    公开(公告)日:2024-03-27

    申请号:EP22827279.5

    申请日:2022-05-19

    IPC分类号: G06T7/55

    摘要: This application provides a modeling method, a related electronic device, and a storage medium, and relates to the field of three-dimensional reconstruction. In the method, a terminal device may display a first interface including a taken picture; collect a plurality of frames of images corresponding to a to-be-modeled target object in response to a collection operation, and obtain an association relationship between the plurality of frames of images; and obtain a three-dimensional model corresponding to the target object based on the plurality of frames of images and the association relationship between the plurality of frames of images, and display the three-dimensional model. When the plurality of frames of images are collected, a first virtual bounding body including a plurality of patches is displayed. When the terminal device is in a first pose, the terminal device collects a first image, and changes a display effect of a patch corresponding to the first image. When the terminal device is in a second pose, the terminal device collects a second image, and changes a display effect of a patch corresponding to the second image. After changing display effects of the plurality of patches, the terminal device obtains the association relationship between the plurality of frames of images based on the plurality of patches. This method simplifies a 3D modeling process and has low requirements on device hardware.

    IMAGE DEPTH PREDICTION METHOD AND ELECTRONIC DEVICE

    公开(公告)号:EP4293623A1

    公开(公告)日:2023-12-20

    申请号:EP22770331.1

    申请日:2022-03-07

    摘要: This application relates to the field of image processing technologies, and specifically, to an image depth prediction method and an electronic device. The method includes: obtaining a primary view and a first secondary view, where the primary view includes a first pixel, the first pixel corresponds to a second pixel at a first assumed depth, and the second pixel is located on the first secondary view; updating feature information of the second pixel based on the feature information of the second pixel and feature information of at least one third pixel, the fourth pixel is a pixel that corresponds to the first pixel at a second assumed depth and that is on the first secondary view; and obtaining a probability of the first assumed depth based on the feature information of the first pixel and the updated feature information of the second pixel. In the method, features of pixels between adjacent sampling points may be aggregated to features of nearby sampling points, and a possibility that a corresponding assumed depth is a real depth of a pixel in a primary view is determined accordingly, so that accuracy of depth prediction is improved.

    METHOD AND SYSTEM FOR THREE-DIMENSIONAL RECONSTRUCTION OF TARGET OBJECT

    公开(公告)号:EP4283562A1

    公开(公告)日:2023-11-29

    申请号:EP23151516.4

    申请日:2023-01-13

    发明人: CHEN, Zhengquan

    摘要: The present invention relates to the field of three-dimensional images, and provides a method for three-dimensional reconstruction of a target object, comprising the following steps: calculating and acquiring a visual angle boundary of the target object; acquiring image information of the target object under multiple visual angles in the visual angle boundary, the image information including initial image information and/or fused image information; finishing three-dimensional reconstruction of the target object according to the acquired image information. By adopting the method for three-dimensional reconstruction of the target object in the present invention, three-dimensional reconstruction of the three-dimensional target at different moments can be carried out in real time, no other links are carried out during the operation, the acquired image information is not lost, real information is directly reproduced, and three-dimensional reconstruction of the real target object is realized.