公开(公告)号：US20230140840A9

公开(公告)日：2023-05-04

申请号：US16694848

申请日：2019-11-25

Applicant: APPLE INC.

Inventor： Raghu Pai ,  Karthik Narayanan ,  Megan M. Frost ,  Patrice Olivier Gautier ,  Usama Mikael Hajj

IPC: G06T19/00 ,  G06K9/00 ,  G06F3/01 ,  G02B27/01 ,  G06T7/136 ,  G06T7/11

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for remotely initiating lost mode on a computing device. A request that lost mode be initiated can include a message and contact information provided by the requesting user. Once authenticated, a command to initiate lost mode is sent to the lost device. Initiating lost mode includes locking the lost device and suppressing select functionality. The message and contact information are displayed and the lost device is enabled to contact the requesting user using the contact information. The lost device can also collect and transmit location data to the requesting user. The location data can be presented on a map indicating the lost devices location and the time the lost device was at the location. The location data can be scheduled to be resent to the user based on numerous factors such as a set schedule, rules or heuristic.

公开(公告)号：US11636584B2

公开(公告)日：2023-04-25

申请号：US17266091

申请日：2019-08-02

Applicant: ZHEJIANG UNIVERSITY

Inventor： Yongying Yang ,  Weimin Lou ,  Fanyi Wang ,  Yubin Du ,  Pan Guo ,  Shiwei Chen

IPC: G06T7/136 ,  G01N21/88 ,  G06T7/60 ,  G06T7/00

Abstract: In a real-time traceability method of a width of a defect based on divide-and-conquer provided by the present invention, through the calibration transfer function, the multidimensional eigenvector analysis technology based on the electromagnetic field simulation database of defect scattered dark-field imaging and the adaptive threshold segmentation method, the real-time traceability of the width of the defect greater than and close to the diffraction limit of the system is performed, respectively. The extreme random tree regression model is trained by multidimensional eigenvector analysis technology based on the multidimensional eigenvectors in the electromagnetic field simulation database of the defect scattered dark-field imaging. The present invention solves the problems that the width of the defect in defect detection is difficult to be accurately measured in real time, and the conventional image processing algorithm is difficult to accurately identify the width of the defect close to the diffraction limit of the system.

公开(公告)号：US20230100798A1

公开(公告)日：2023-03-30

申请号：US17546080

申请日：2021-12-09

Applicant: SIEMENS HEALTHINEERS INTERNATIONAL AG

Inventor： Igor PETERLIK ,  Adam Michal STRZELECKI ,  Dieter Marc SEGHERS ,  Mathieu PLAMONDON ,  Mathias LEHMANN ,  Pascal PAYSAN ,  Alexander HEINZ

IPC: G06T7/11 ,  G06T7/62 ,  G06T7/136 ,  G06V10/764 ,  G06V10/44

Abstract: A computer-implemented method of segmenting a reconstructed volume of a region of patient anatomy includes: determining an anatomical region associated with the reconstructed volume; detecting one or more metal objects disposed in an initial 3D metal object mask associated with the reconstructed volume; for each of the one or more metal objects disposed in the initial 3D metal object mask, determining a volume associated with the metal object; determining a value for at least one segmentation parameter based on the anatomical region and on the volume associated with the one or more metal objects; and generating a final 3D metal object mask associated with the reconstructed digital volume using the value for the segmentation parameter.

公开(公告)号：US20230094182A1

公开(公告)日：2023-03-30

申请号：US17958089

申请日：2022-09-30

Applicant: Ultrahaptics IP Two Limited

Inventor： Kevin A. HOROWITZ ,  David S. HOLZ

IPC: G06T17/10 ,  G06T17/20 ,  G06T7/593 ,  G06T7/11 ,  G06T7/246 ,  G06T7/194 ,  G06T7/136 ,  G06F3/01 ,  G06T19/00 ,  G06T19/20 ,  G06V40/20

Abstract: Free space machine interface and control can be facilitated by predictive entities useful in interpreting a control object's position and/or motion (including objects having one or more articulating members, i.e., humans and/or animals and/or machines). Predictive entities can be driven using motion information captured using image information or the equivalents. Predictive information can be improved applying techniques for correlating with information from observations.

公开(公告)号：US20230092072A1

公开(公告)日：2023-03-23

申请号：US17748280

申请日：2022-05-19

Applicant: HON HAI PRECISION INDUSTRY CO., LTD.

Inventor： CHENG-FENG WANG ,  LI-CHE LIN

IPC: G06T7/00 ,  G06T7/136 ,  G06T7/70 ,  G06T7/12

Abstract: A method of detecting misprints obtains a reference image of perfectly-formed characters and a test image showing the same characters. First image processing is performed on the reference image to obtain a first image, and first image processing is performed on the test image to obtain a second image. A second image processing is performed on the first image to obtain a first outline image of each of first characters in the reference image, and the second image processing is performed on the second image to obtain a second outline image of each of second characters in the test image. A corresponding first outline image is determined for the second outline image. A similarity between the corresponding first outline image and the second outline image is calculated. Accordingly, a detection result of the second outline image is determined. The method can detect character flaw accurately.

公开(公告)号：US11610296B2

公开(公告)日：2023-03-21

申请号：US17124472

申请日：2020-12-16

Applicant: KLA CORPORATION

Inventor： Xuguang Jiang ,  Juhwan Rha

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/136 ,  G01N21/88 ,  G01N21/95

Abstract: A projection is determined in a semiconductor image, which can be an X projection and/or a Y projection. At least one threshold is applied to the projection thereby forming at least one segment within the region. A fine segment can be determined in the region using a distance value from the projection. Defect detection can be performed in one of the fine segments.

公开(公告)号：US20230073541A1

公开(公告)日：2023-03-09

申请号：US17794550

申请日：2021-01-25

Applicant: Matthew Charles KING

Inventor： Matthew Charles KING

IPC: G06V20/10 ,  G06V10/82 ,  G06T7/136

Abstract: A method for performing machine vision recognition activities for a dynamic object is disclosed, which includes the steps of (i) creating a digital image series that includes a seed digital image set including digital images and at least one subsequent digital image set including digital images; (ii) creating an object detector series, said creating step (ii) comprising a) creating a seed object detector from the seed digital image set, the seed object detector comprising an architecture and a set of weights directed to recognition of target objects; and b) creating at least one deep learning object detector from the at least one subsequent digital image set and derived from said seed object detector, the deep learning object detector including a deep learning architecture and a set of weights trained for recognition of the evolution of the target objects over time.

公开(公告)号：US11593948B2

公开(公告)日：2023-02-28

申请号：US17177595

申请日：2021-02-17

Applicant: Adobe Inc.

Inventor： Qihang Yu ,  Jianming Zhang ,  He Zhang ,  Yilin Wang ,  Zhe Lin ,  Ning Xu

IPC: G06T7/00 ,  G06T7/194 ,  G06T7/136 ,  G06T7/11 ,  G06T3/40 ,  G06T5/00

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a progressive refinement network to refine alpha mattes generated utilizing a mask-guided matting neural network. In particular, the disclosed systems can use the matting neural network to process a digital image and a coarse guidance mask to generate alpha mattes at discrete neural network layers. In turn, the disclosed systems can use the progressive refinement network to combine alpha mattes and refine areas of uncertainty. For example, the progressive refinement network can combine a core alpha matte corresponding to more certain core regions of a first alpha matte and a boundary alpha matte corresponding to uncertain boundary regions of a second, higher resolution alpha matte. Based on the combination of the core alpha matte and the boundary alpha matte, the disclosed systems can generate a final alpha matte for use in image matting processes.

公开(公告)号：US11587219B2

公开(公告)日：2023-02-21

申请号：US17051728

申请日：2018-09-06

Applicant: GOERTEK INC.

Inventor： Xinxin Han ,  Zhiyong Zhao ,  Nanjing Dong ,  Debo Sun

IPC: G06T7/00 ,  G06T7/136 ,  G06T7/62 ,  G06T7/11 ,  G06T7/66 ,  G06T7/13 ,  G01N21/88 ,  G09G5/10 ,  H04N9/31

Abstract: Provided are a method and an apparatus for detecting pixel defect of optical module, and a device, where the method includes: graying an image obtained by imaging a test binary image by an optical module in a darkroom environment to obtain a first grayscale image; determining a first grayscale area and a second grayscale area corresponding to two gray levels in the test binary image from the first grayscale image; determining a pixel point not matching a grayscale feature of respective grayscale region from the first grayscale area and the second grayscale area respectively as a pixel defect point; and determining the pixel defect of the optical module according to the pixel defect point. The technical solution provided in the present disclosure can detect accurately a pixel defect of an optical module which is advantageous in optimizing the processing technology of the optical module.

公开(公告)号：US20230051951A1

公开(公告)日：2023-02-16

申请号：US17973677

申请日：2022-10-26

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Liang WANG ,  Jianhua Yao

IPC: G06T7/11 ,  G06T7/174 ,  G06T7/155 ,  G06T7/136 ,  G06T7/90 ,  G06T7/00

Abstract: This disclosure relates to a model training method and apparatus and an image processing method and apparatus. The model training method includes: obtaining a first sample image and a first standard region proportion corresponding to a first object in the first sample image; obtaining a standard region segmentation result corresponding to the first sample image based on the first standard region proportion; and training a first initial segmentation model based on the first sample image and the standard region segmentation result, to obtain a first target segmentation model.