TOPOLOGY-BASED IMAGE RENDERING IN CHARGED-PARTICLE BEAM INSPECTION SYSTEMS

    公开(公告)号:WO2022128374A1

    公开(公告)日:2022-06-23

    申请号:PCT/EP2021/082773

    申请日:2021-11-24

    Abstract: Systems and methods of image alignment are disclosed herein. The method of image alignment may comprise obtaining an image of a sample, obtaining information associated with a corresponding reference image, generating a modified rendered image by blurring a rendered image of the corresponding reference image such that a topology of the rendered image is substantially preserved, wherein a degree of blurring is based on a characteristic of the topology, and aligning the image of the sample with the blurred rendered image. The method may further comprise aligning the image of the sample with the corresponding reference image based on an alignment between the image of the sample and the blurred rendered image.

    METHOD AND APPARATUS FOR LOCATING PEOPLE INDOORS

    公开(公告)号:WO2022107180A1

    公开(公告)日:2022-05-27

    申请号:PCT/IT2021/050372

    申请日:2021-11-18

    Applicant: I4X S.R.L.

    Abstract: The invention concerns a method for locating users in a determinate indoor environment (20) by means of artificial intelligence, comprising the creation and storage of a data set (12) of images (21) associated with a position (P) of acquisition in said environment (20), the training of at least one neural network (14) of a processing unit (13) in order to teach it to recognize and determine a relationship between image (21) and position (P), and the processing of an image (I) received from a user in order to recognize and identify the position of acquisition of the image (I). The present invention also concerns an apparatus for locating a user in an indoor environment.

    이미지를 이용한 3차원 지도의 업데이트 방법 및 이를 지원하는 전자 장치

    公开(公告)号:WO2022080869A1

    公开(公告)日:2022-04-21

    申请号:PCT/KR2021/014147

    申请日:2021-10-13

    Inventor: 남상범

    Abstract: 본 문서에 개시되는 일 실시예에 따른 전자 장치는 카메라 모듈, 통신 회로, 메모리, 및 프로세서를 포함하고, 상기 프로세서는 상기 카메라 모듈을 이용하는 제1 어플리케이션을 실행하고, 상기 제1 어플리케이션 구동 중, 상기 카메라 모듈을 통해 제1 이미지를 획득하고, 상기 제1 이미지에서 지정된 종류의 객체를 인식하고, 상기 제1 이미지가 촬영된 위치 정보를 획득하고, 3차원 가상 지도에서, 상기 위치 정보에 대응하는 제1 가상 지점을 결정하고, 상기 제1 가상 지점에서 상기 제1 이미지에 대응하는 제2 이미지를 획득하고, 상기 제1 이미지와 상기 제2 이미지의 비교에 기반하여, 상기 객체에 관한 상기 3차원 가상 지도의 데이터를 업데이트할 수 있다.

    目标检测方法、装置、设备、存储介质及计算机程序

    公开(公告)号:WO2022257346A1

    公开(公告)日:2022-12-15

    申请号:PCT/CN2021/128252

    申请日:2021-11-02

    Abstract: 本申请实施例公开了一种目标检测方法、装置、设备、存储介质及计算机程序。该目标检测方法包括:获取目标图像帧以及若干支持图像帧,其中,目标图像帧和至少部分的支持图像帧通过不同时刻对目标进行拍摄得到;对目标图像帧与若干支持图像帧进行特征聚合,得到聚合结果,其中,支持图像帧对应的聚合权重与支持图像帧的图像质量相关,和/或,在特征聚合之前对目标图像帧和支持图像帧进行基于目标的特征对齐;利用聚合结果分别对目标图像帧的初始检测结果进行调整,得到目标图像帧对应的最终检测结果,其中,所述初始检测结果是关于目标的检测结果。上述方案,能够提高目标检测结果的准确度。

    SYSTEM AND METHOD FOR MEASURING ADVERTISEMENTS EXPOSURE IN 3D COMPUTER GAMES

    公开(公告)号:WO2022201151A1

    公开(公告)日:2022-09-29

    申请号:PCT/IL2022/050316

    申请日:2022-03-21

    Inventor: EL-SANA, Jihad

    Abstract: A system for measuring the level of exposure of players to advertisements displayed in computer games, comprising a workstation comprising at least one processor, for executing the computer game; a software module installed on the workstation being adapted to copy, at a predetermined rate, frames to be analyzed, from a frame buffer of the workstation, into a memory, such as shared memory; a computerized device comprising at least one processor, for processing and analyzing the copied frames by an independent deep learning application that runs in parallel to the game application. The deep learning application being adapted to extract features from each analyzed frame using a Convolutional Neural Network (CNN) model and localize the detection region of advertisements within the each analyzed frame using a Recurrent Neural Network (RNN) model.

    FRAMES ALIGNMENT IN VIDEO PROCESSING USING SELF-ATTENTION

    公开(公告)号:WO2022197958A1

    公开(公告)日:2022-09-22

    申请号:PCT/US2022/020801

    申请日:2022-03-17

    Abstract: A processor-implemented method for processing a video includes receiving the video as an input at an artificial neural network (ANN). The video includes a sequence of frames. A set of features of a current frame of the video and a prior frame of the video are extracted. The set of features including a set of support features for a set of pixels of the prior frame to be aligned with a set of reference features of the current frame. A similarity between a support feature for each pixel in the set of pixels of the set of support features of the prior frame and a corresponding reference feature of the current frame is computed. An attention map is generated based on the similarity. An output including a reconstruction of the current frame is generated based on the attention map.

Patent Agency Ranking