METHOD AND APPARATUS WITH SENSOR CALIBRATION

    公开(公告)号:US20220414933A1

    公开(公告)日:2022-12-29

    申请号:US17575092

    申请日:2022-01-13

    Abstract: A processor-implemented method with sensor calibration includes: estimating a portion of a rotation parameter for a target sensor among a plurality of sensors based on a capture of a reference object; estimating another portion of the rotation parameter for the target sensor based on an intrinsic parameter of the target sensor and a focus of expansion (FOE) determined based on sensing data collected with consecutive frames by the target sensor while the electronic device rectilinearly moves based on one axis; and performing calibration by determining a first extrinsic parameter for the target sensor based on the portion and the other portion of the rotation parameter.

    METHOD AND APPARATUS WITH ADAPTIVE OBJECT TRACKING

    公开(公告)号:US20220138493A1

    公开(公告)日:2022-05-05

    申请号:US17246803

    申请日:2021-05-03

    Abstract: Disclosed is a method and apparatus for adaptive tracking of a target object. The method includes method of tracking an object, the method including estimating a dynamic characteristic of an object in an input image based on frames of the input image, determining a size of a crop region for a current frame of the input image based on the dynamic characteristic of the object, generating a cropped image by cropping the current frame based on the size of the crop region, and generating a result of tracking the object for the current frame using the cropped image.

    METHOD AND APPARATUS WITH NEURAL NETWORK OPERATION PROCESSING

    公开(公告)号:US20220019895A1

    公开(公告)日:2022-01-20

    申请号:US17124791

    申请日:2020-12-17

    Abstract: A processor-implemented neural network method includes: obtaining a first weight kernel of a weight model and pruning information of the first weight kernel; determining, based on the pruning information, a processing range of an input feature map for each weight element vector of the first weight kernel; performing a convolution operation between the input feature map and the first weight kernel based on the determined processing range; and generating an output feature map of a neural network layer based on an operation result of the convolution operation.

    ORGANIC-INORGANIC COMPOSITE FILMS AND METHODS OF MANUFACTURING THE SAME
    17.
    发明申请
    ORGANIC-INORGANIC COMPOSITE FILMS AND METHODS OF MANUFACTURING THE SAME 有权
    有机无机复合膜及其制造方法

    公开(公告)号:US20160103233A1

    公开(公告)日:2016-04-14

    申请号:US14738530

    申请日:2015-06-12

    CPC classification number: G01T1/244 G01T1/24 H01B1/02 H01L27/14676

    Abstract: A method of manufacturing an organic-inorganic composite thin film may include: forming a thin film from a paste that includes an inorganic powder and an organic compound binder by using a screen printing process; and/or performing a pressing process and a heating process with respect to the thin film. The heating process may be performed at a glass transition temperature of the organic compound binder or in a temperature range higher than the glass transition temperature of the organic compound binder. An X-ray detector configured to detect X-rays irradiated from an outside of the X-ray detector may include: a photoconductive material layer in which electron-hole pairs are formed due to absorption of the X-rays. The photoconductive material layer may be formed of an organic-inorganic composite thin film that includes an inorganic powder and an organic compound binder.

    Abstract translation: 制造有机 - 无机复合薄膜的方法可以包括:通过使用丝网印刷方法从包含无机粉末和有机化合物粘合剂的糊状物形成薄膜; 和/或对薄膜进行加压处理和加热处理。 加热过程可以在有机化合物粘合剂的玻璃化转变温度下或在高于有机化合物粘合剂的玻璃化转变温度的温度范围内进行。 用于检测从X射线检测器外部照射的X射线的X射线检测器可以包括:由于吸收X射线而形成电子 - 空穴对的感光材料层。 光导材料层可以由包含无机粉末和有机化合物粘合剂的有机 - 无机复合薄膜形成。

    METHOD AND APPARATUS WITH OBJECT TRACKING
    19.
    发明公开

    公开(公告)号:US20230351610A1

    公开(公告)日:2023-11-02

    申请号:US17987231

    申请日:2022-11-15

    CPC classification number: G06T7/20 G06T7/97 G06T2207/10016

    Abstract: A processor-implemented method with object tracking includes: performing, using a first template, forward object tracking on first image frames in a first sequence group; determining a template candidate of a second template for second image frames in a second sequence group; performing backward object tracking on the first image frames using the template candidate; determining a confidence of the template candidate using a result of comparing a first tracking result determined by the forward object tracking performed on the first image frames and a second tracking result determined by the backward object tracking performed on the first image frames; determining the second template based on the confidence of the template candidate; and performing forward object tracking on the second image frames using the second template.

    MEMORY MANAGEMENT METHOD AND ELECTRONIC DEVICE

    公开(公告)号:US20230185458A1

    公开(公告)日:2023-06-15

    申请号:US18106131

    申请日:2023-02-06

    CPC classification number: G06F3/0616 G06F3/0653 G06F3/0659 G06F3/0673

    Abstract: An electronic device comprises: a memory management module; a processor operatively connected to the memory management module; and a memory controlled by the memory management module and operatively connected to the processor. The memory is configured to store instructions which, when executed, cause the processor to: execute at least one process, identify a rate at which the at least one process is terminated, based on a preconfigured first cycle, determine a number of times the identified rate exceeds a first threshold value, and based on a determination that the number of times the identified rate exceeds the first threshold value is greater than a second threshold value, reboot the electronic device.

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