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公开(公告)号:US20240315787A1
公开(公告)日:2024-09-26
申请号:US18211269
申请日:2023-06-18
Applicant: Orsi Academy bv
Inventor: Pieter De Backer , Alexandre Mottrie
CPC classification number: A61B34/35 , A61B34/70 , A61B90/36 , G06V10/26 , G06V10/32 , G06V10/70 , A61B2090/365 , G06V2201/034 , G06V2201/12
Abstract: Non-organic objects, such as surgical instruments, in a captured image can be automatically identified and segmented using a pretrained machine learning model. A first mask with only the segmented non-organic objects from the captured images can be created. A second mask or overlay with medical information relating to the medical procedure and/or relating to one or more body parts visible in said captured image can be created. The captured image can be combined with said first mask and said second mask or overlay such that the first mask is applied over the second mask or overlay.
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公开(公告)号:US12100243B2
公开(公告)日:2024-09-24
申请号:US18326332
申请日:2023-05-31
Applicant: Google LLC
Inventor: Idris Syed Aleem , Daniel David Albin Balzerson
CPC classification number: G06V40/165 , G02B27/0172 , G06F3/013 , G02B2027/0138 , G06V2201/12
Abstract: A system and method of detecting display fit measurements and/or ophthalmic measurements for a head mounted wearable computing device including a display device is provided. The system and method may include capturing image data including a face of a user to be fitted for the head mounted wearable computing device. A three-dimensional head pose and gaze measurements may be extracted and a three-dimensional model may be developed from the captured image data. The system may detect display fit measurements and/or ophthalmic fit measurements from the three-dimensional model, and may provide one or more head mounted wearable computing devices that meet the display fit and/or ophthalmic fit requirements.
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公开(公告)号:US20240268897A1
公开(公告)日:2024-08-15
申请号:US18568938
申请日:2022-06-13
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor: Raj M. VYAS , Lohrasb Ross SAYADI
CPC classification number: A61B34/20 , A61B90/361 , A61B90/39 , G06V10/82 , A61B2034/2065 , A61B2090/366 , A61B2090/367 , A61B2090/3937 , G06V2201/03 , G06V2201/12
Abstract: A system for guiding a surgical or medical procedure includes a depth camera for acquiring images and/or video from a predetermined site of a subject before, during, or after a planned surgical or medical procedure and a high definition projector for projecting surgical markings onto this predetermined surgical site. The system also enables a remote educator or expert to guide the procedure by annotating a three-dimensional digital image of the subject such that this input is then projected onto the actual subject in real time. A trained machine learning guide generator is in electrical communication with the depth camera and the projector. Characteristically, the trained machine learning guide generator implements a trained machine learning model for the predetermined anatomic site. Advantageously, the trained machine learning guide generator is configured to control the projector using the trained machine learning model to bind projection such that surgical markings that guide surgical or medical procedures are stably projected onto the subject despite movement.
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公开(公告)号:US20240212336A1
公开(公告)日:2024-06-27
申请号:US18293704
申请日:2022-07-08
Applicant: NUCTECH COMPANY LIMITED , TSINGHUA UNIVERSITY
Inventor: Zhiqiang CHEN , Li ZHANG , Yunda SUN , Juan ZHENG , Lu WANG , Tao YANG , Dong LI
CPC classification number: G06V10/84 , G06T3/40 , G06T11/006 , G06V10/457 , G06V10/48 , G06T2211/428 , G06T2211/441 , G06V2201/05 , G06V2201/07 , G06V2201/12
Abstract: A method and an apparatus of identifying at least one target object for a security inspection CT are provided. The method includes: performing a dimension reduction on three-dimensional CT data to generate a plurality of two-dimensional dimension-reduced views (S10); performing a target identification on a plurality of two-dimensional views to obtain a set of two-dimensional semantic descriptions of the at least one target object, where the plurality of two-dimensional views include the plurality of two-dimensional dimension-reduced views (S20); and performing a dimension increase on the set of two-dimensional semantic descriptions to obtain a three-dimensional recognition result of the at least one target object (S30).
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公开(公告)号:US20240029020A1
公开(公告)日:2024-01-25
申请号:US18255437
申请日:2021-12-29
Applicant: Interproductec Consulting GmbH & Co. KG
Inventor: Ingo Stork Genannt Wersborg , Frederik Born , Mathias Sundholm , Alexander Indig
IPC: G06Q10/087 , G06Q50/12 , G06V10/25
CPC classification number: G06Q10/087 , G06Q50/12 , G06V10/25 , G06V2201/12 , G06V2201/07
Abstract: Examples relate to a food processing system, which includes a sensor unit for determining holding data of at least one pan or holding container placed in a food holding area. The system can further includes a processing unit for determining a scheduling state based on current holding data and/or a holding data history; and a control unit to control an actuator based on the determined scheduling state.
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公开(公告)号:US11867819B2
公开(公告)日:2024-01-09
申请号:US17344297
申请日:2021-06-10
Applicant: HERE Global B.V.
Inventor: David Doria , Charles Morcom , Engin Burak Anil , Fangning He , Matthew Emery Goss
CPC classification number: G01S17/931 , G06T7/11 , G06V10/803 , G06V20/582 , G06V20/588 , G01S7/4802 , G01S17/89 , G06F18/251 , G06T2207/10028 , G06T2207/20112 , G06T2207/30252 , G06V2201/12
Abstract: An apparatus for sign detection includes a point cloud analysis module, an image analysis module, a frustum comparison module, and a sign detector. The point cloud analysis module is configured to receive point cloud data associated with a geographic region and classify at least one point neighborhood in the point cloud data as planar and a sign position candidate. The image analysis module is configured to receive image data associated with the geographic region and calculate a sighting frustum from the image data. The frustum comparison module is configured to perform a comparison of the sighting frustum to the sign position candidate having at least one point neighborhood classified as planar. The sign detector is configured to provide a location for the sign detection in response to the comparison of the sighting frustum to the sign position candidate.
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公开(公告)号:US20230368880A1
公开(公告)日:2023-11-16
申请号:US18357143
申请日:2023-07-23
Applicant: FUJIFILM Corporation
Inventor: Yuta HIASA
IPC: G16H15/00 , G06T7/00 , G06V10/774
CPC classification number: G16H15/00 , G06T7/0012 , G06V10/774 , G06T2207/20081 , G06T2207/10081 , G06V2201/031 , G06V2201/12
Abstract: The learning apparatus includes a processor (129), a memory (114), and a learning model (126). The processor (129) performs processing of inputting a pseudo simple X-ray image (204), which is generated by projecting an X-ray CT image (202), to the learning model (126), processing of generating a second interpretation report (208) with respect to the pseudo simple X-ray image (204) by converting a first interpretation report (206), processing of acquiring an error between an estimation report (210) with respect to the pseudo simple X-ray image (204) output by the learning model (126) on the basis of the input pseudo simple X-ray image (204), and the second interpretation report (208), and processing of training the learning model (126) by using the error.
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公开(公告)号:US20230334831A1
公开(公告)日:2023-10-19
申请号:US17987452
申请日:2022-11-15
Applicant: Hyundai Motor Company , Kia Corporation
Inventor: Minkooc Wee , Sung Hoon Bang
IPC: G06V10/774 , G06T17/00
CPC classification number: G06V10/774 , G06T17/00 , G06T2210/32 , G06V2201/12
Abstract: Provided is a training dataset generating system including: a communicator to receive a two-dimensional (2D) image obtained by photographing a target object; and a controller configured to generate, based on the 2D image and based on three-dimensional (3D) data for the target object, a training dataset comprising a synthetic image and comprising labeling information, wherein the controller is configured to generate the training data set by: generating, based on the 3D data, a rendered image, generating the synthetic image, based on the 2D image and the rendered image, through deep learning training, extracting, based on at least one of the 3D data or the rendered image, the labeling information for the target object, and generating the training dataset.
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公开(公告)号:US20240296666A1
公开(公告)日:2024-09-05
申请号:US18176693
申请日:2023-03-01
Applicant: The Boeing Company
Inventor: Kevin S. Callahan
IPC: G06V10/80 , B64D47/00 , G06Q10/083 , G06V20/64
CPC classification number: G06V10/811 , B64D47/00 , G06Q10/083 , G06V20/64 , G06V2201/07 , G06V2201/12
Abstract: A system to identify cargo. The system includes sensors that detect different aspects of the cargo. A computing device receives signals from the sensors indicative of the sensed aspects. The computing device determines an initial identity of the cargo based on the signals from the sensors. When the initial identities are consistent between the different sensors, the computing device identifies the cargo as the initial identify. When the initial identities are inconsistent, the computing device identifies the cargo in a different manner.
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公开(公告)号:US20240273593A1
公开(公告)日:2024-08-15
申请号:US18566405
申请日:2022-06-04
Applicant: ResMed Pty Ltd
Inventor: Aaron Samuel DAVIDSON , Ian Andrew Law , James SUNG , Garth Alan BERRIMAN , Michael Christopher HOGG
IPC: G06Q30/0601 , G06Q50/04 , G06V10/75 , G06V20/20 , G06V40/16
CPC classification number: G06Q30/0621 , G06Q30/0643 , G06Q50/04 , G06V10/751 , G06V20/20 , G06V40/165 , G06V40/171 , G06V2201/12
Abstract: A system and method to collect collecting data for customizing a facial interfacing structure for a head-mounted display interface for virtual reality or augmented reality systems. Facial image data is correlated to a user such as by scanning the face of the user. Facial feature data related to the facial interfacing structure is determined from the facial image data. Dimensions of the facial interfacing structure are determined from the facial feature data. A design of a customized facial interfacing structure including the determined dimensions is stored to produce the customized facial interfacing structure.
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