IMAGE RECONSTRUCTION METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:EP4513436A1

    公开(公告)日:2025-02-26

    申请号:EP23790894.2

    申请日:2023-03-02

    Inventor: GUAN, Mingtao

    Abstract: The present disclosure belongs to the technical field of image reconstruction, and relates to an image reconstruction method and apparatus, and an electronic device and a storage medium. In the present disclosure, an actually measured data inversion objective function is minimized by means of a variational auto-encoder deep neural network, so as to obtain a target latent space parameter of the actually measured data inversion objective function, and the target latent space parameter is then decoded by using the variational auto-encoder deep neural network, so as to obtain a reconstructed image. The image reconstruction method comprises: acquiring actually measured data of a target; constructing, according to the actually measured data, an actually measured data inversion objective function which takes a latent space parameter of a variational auto-encoder deep neural network as an unknown number; minimizing the actually measured data inversion objective function by using the variational auto-encoder deep neural network, so as to obtain a target latent space parameter; and decoding the target latent space parameter by using the variational auto-encoder deep neural network, so as to obtain a target reconstructed image.

    SPATIAL INFORMATION PREDICTION METHOD AND APPARATUS, READABLE STORAGE MEDIUM, AND ELECTRONIC DEVICE

    公开(公告)号:EP4513434A1

    公开(公告)日:2025-02-26

    申请号:EP24196054.1

    申请日:2024-08-23

    Inventor: HU, Zhaoyang

    Abstract: Disclosed are a spatial information prediction method and a computer readable storage medium, and an electronic device. The method includes: obtaining to-be-updated spatial information of a target object in a current image captured by a target camera on a mobile device; determining a three-dimensional prediction coordinate of the target object in the current image based on the to-be-updated spatial information; transforming the three-dimensional prediction coordinate of the target object into an image coordinate system of the current image, to obtain a two-dimensional prediction coordinate of the target object; determining a first two-dimensional detection coordinate of the target object in the current image; determining an error between the first two-dimensional detection coordinate and the two-dimensional prediction coordinate; determining prediction spatial information of the target object in the current image based on the error and the to-be-updated spatial information. According to this disclosure, accuracy of performing spatial information prediction can be improved.

    SYSTEM AND METHOD FOR LOCATING AND VISUALIZING CAMERA IMAGES IN RELATION TO A LARGE-SCALE MANUFACTURING PRODUCT

    公开(公告)号:EP4513430A2

    公开(公告)日:2025-02-26

    申请号:EP24195480.9

    申请日:2024-08-20

    Abstract: A system and a method for locating and visualizing camera images in relation to a large-scale manufacturing product with repetitive structures are disclosed. The system includes a trackable camera device, a tracking subsystem, and an image overlay module. The trackable camera device can capture images of surface features of the large-scale product. The tracking subsystem is configured to generate a tracking record that contains the position and location of the trackable camera device over time. The image overlay module is configured to precisely overlay the captured images on a three-dimensional model of the large-scale product based on where the trackable camera device was tracked when each image was captured. A method is disclosed for using the components of the system to overlay the captured images, and a method of auditing the large-scale product by comparing a region of interest to previously captured images overlaid on a respective three-dimensional model.

    METHOD, APPARATUS AND SYSTEM FOR TESTING CATHODE ELECTRODE SHEET OF COMPOSITE STRIP

    公开(公告)号:EP4513428A1

    公开(公告)日:2025-02-26

    申请号:EP23790899.1

    申请日:2023-03-02

    Abstract: Provides in the present application are a method, apparatus and system for testing a cathode electrode sheet of a composite strip, an electronic device, a stacking machine, a computer-readable storage medium and a computer program product. The method comprises: by using a camera apparatus, photographing a composite strip conveyed on a stacking machine, so as to acquire a test image comprising the composite strip, the test image comprising an electrode sheet body region; extracting the electrode sheet body region from the test image; and testing the electrode sheet body region to determine a metal exposure defect in the electrode sheet body region. The technical solution of the embodiments of the present application can test a composite strip conveyed on a stacking machine, thus detecting a metal exposure defect in a cathode electrode sheet in real time during a production process of a stacked cell assembly.

    METHOD FOR PROVIDING INFORMATION ON M-MODE ULTRASOUND IMAGE, AND DEVICE FOR PROVIDING INFORMATION ON M-MODE ULTRASOUND IMAGE BY USING SAME

    公开(公告)号:EP4512345A1

    公开(公告)日:2025-02-26

    申请号:EP23792037.6

    申请日:2023-03-21

    Abstract: The present invention provides a method for providing information on an M-mode ultrasound image implemented by a processor and device using same, the method comprising the steps of: receiving an M-mode ultrasound image of a subject; segmenting a plurality of cardiac tomographic regions within the M-mode ultrasound image by using a segmentation model that is trained so as to segment the M-mode ultrasound image into a plurality of cardiac tomographic regions; and determining measurements for the plurality of segmented cardiac tomographic regions. In addition, the present invention provides a method for providing a user interface for providing information on an M-mode ultrasound image, which is a method for providing information on an M-mode ultrasound image implemented by a processor, wherein the method comprises the steps of: receiving an M-mode ultrasound image of a subject; segmenting a plurality of cardiac tomographic regions within the M-mode ultrasound image by using a first model that is trained so as to segment the M-mode ultrasound image into a plurality of cardiac tomographic regions by using the M-mode ultrasound image as an input; determining a diastolic phase and a systolic phase within the M-mode ultrasound image by using a second model that is trained so as to predict the diastolic phase and the systolic phase of the M-mode ultrasound image by means of using the M-mode ultrasound image as an input; and determining measurements for the plurality of cardiac tomographic regions that are segmented on the basis of the diastolic and systolic phases.

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