Picture Processing Method, Electronic Device and Computer Readable Medium

    公开(公告)号:US20240153242A1

    公开(公告)日:2024-05-09

    申请号:US18281781

    申请日:2023-01-03

    CPC classification number: G06V10/764 G06V2201/07

    Abstract: Provided in the present disclosure is a picture processing method, comprising: acquiring picture information of a picture, to be classified, of a first terminal, and according to the picture information, classifying said picture into at least one picture category of the first terminal; in response to satisfying a preset synchronization condition, acquiring a synchronous storage position of a second terminal, and determining the category of at least one picture, to be synchronized, of the first terminal; and for the category of each picture to be synchronized, determining a storage space, corresponding to the picture category, in the synchronous storage position, and transmitting the picture, of the first terminal, under the picture category to the storage space. Further provided in the present disclosure are an electronic device and a computer readable medium.

    Method and system for software-defined camera and camera

    公开(公告)号:US11979686B2

    公开(公告)日:2024-05-07

    申请号:US17143359

    申请日:2021-01-07

    Inventor: Zhenyu Wang

    CPC classification number: H04N7/185 G06F8/65 G06F8/71 G06V20/52 G06V2201/07

    Abstract: A method and system for a software-defined camera. A device management center stores an intelligent application used for intelligent video analysis and stores intelligent application deployment files for various surveillance scenarios. The device management center sends a corresponding deployment file to a camera based on a location of a smart camera and an intelligent video analysis function that needs to be implemented. The camera obtains a corresponding intelligent application from the device management center based on a list of intelligent applications in the deployment file, to implement an intelligent video analysis function required in the surveillance scenario.

    Target detection system and method for vehicle

    公开(公告)号:US11975653B2

    公开(公告)日:2024-05-07

    申请号:US17890639

    申请日:2022-08-18

    Inventor: Eun Seok Kang

    CPC classification number: B60Q9/008 G06V20/58 G06V2201/07

    Abstract: In a case where a person moves away in a longitudinal direction from the vicinity of a vehicle, a condition for generating a warning is satisfied due to a change in a speed in a transverse direction. Thus, a warning system generates an erroneous warning. In order to solve this problem, there are proposed a target detection system for a vehicle and a target detection method for a vehicle, both of which are capable of computing a final risk level, taking into consideration not only results of recomputing a time-to-collision and an impact point, but also the presence or absence of a target that is detected by a camera sensor. The time-to-collision and the impact point are recomputed, taking into consideration a change in a speed in a transverse direction that occurs when the target moves in the longitudinal direction.

    IMAGE RECOGNITION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20240144633A1

    公开(公告)日:2024-05-02

    申请号:US18108779

    申请日:2023-02-13

    Inventor: CHIEN-WU YEN

    Abstract: An image recognition method applied to an electronic device is provided. The method includes obtaining a recognition region and a plurality of test regions. A plurality of first prediction results is obtained by predicting each of the plurality of test regions using a first recognition model. A prediction accuracy rate is calculated. A plurality of target regions is obtained from the plurality of test regions, and a second recognition model is obtained by adjusting the first recognition model based on the prediction accuracy rate and the plurality of target regions. An initial feature matrix is obtained by inputting the recognition region in the second recognition model. A target vector is generated according to a target feature matrix and an initial weight matrix; and a recognition result of the image to be recognized is obtained by inputting the target vector into the second recognition model.

    DISPLAY DEVICE
    337.
    发明公开
    DISPLAY DEVICE 审中-公开

    公开(公告)号:US20240135744A1

    公开(公告)日:2024-04-25

    申请号:US18374547

    申请日:2023-09-27

    Abstract: A display device comprises a display panel comprising an image display area and a non-display area, display pixels comprising light-emitting elements in the image display area and pixel driving units connected to the light-emitting elements, light-sensing pixels comprising photo-detecting units in a fingerprint sensing area in the image display area, and sense driving units connected to the photo-detecting units, a light-sensing reset driver configured to supply reset signals to the sense driving units of the light-sensing pixels for at least each horizontal line among the light-sensing pixels in response to a line select signal from a display driving circuit; and a fingerprint scan driver configured to sequentially supply a fingerprint scan signal to the sense driving units of the light-sensing pixels in response to a fingerprint scan control signal from the display driving circuit.

    METHOD AND SYSTEM FOR SELECTING A FURNITURE ITEM BASED ON A REFERENCE IMAGE

    公开(公告)号:US20240135676A1

    公开(公告)日:2024-04-25

    申请号:US18382274

    申请日:2023-10-19

    Applicant: Fulhaus Inc.

    CPC classification number: G06V10/761 G06V2201/07

    Abstract: A computer-implemented method for selecting a furniture item based on a reference image, the method comprising: receiving a reference image and a room type; determining a main type of furniture items based on the room type; accessing a database comprising a plurality of main reference furniture items each belonging to the main type of furniture items; selecting a given one of the main reference furniture items based on the reference image; and outputting an identification of the given one of the main reference furniture items.

    Three-Dimensional Object Detection
    339.
    发明公开

    公开(公告)号:US20240135576A1

    公开(公告)日:2024-04-25

    申请号:US18274679

    申请日:2022-02-08

    Abstract: According to implementations of the subject matter described herein, a solution is proposed for three-dimensional (3D) object detection. In this solution, feature representations of a plurality of points are extracted from point cloud data related to a 3D object. Initial feature representations of a set of candidate 3D objects are determined based on the feature representations of the plurality of points. Based on the feature representations of the plurality of points and the initial feature representations of the set of candidate 3D objects, a detection result for the 3D object is generated by determining self-correlations between the set of candidate 3D objects and cross-correlations between the plurality of points and the set of candidate 3D objects. In this way, without grouping points into candidate 3D objects, the 3D object in a 3D scene can be localized and recognized based on the self-correlations and cross-correlations.

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