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71.
公开(公告)号:US20240185560A1
公开(公告)日:2024-06-06
申请号:US17989263
申请日:2022-11-17
申请人: KAKAO MOBILITY CORP.
CPC分类号: G06V10/74 , G06V10/25 , G06V10/462
摘要: Disclosed herein method and apparatus for detecting changes between heterogeneous image data for identifying disaster damage.
The method includes obtaining observation image data of an event occurrence region and reference image data that occurs before an event and has a heterogeneous type of an image from the observation image data; processing the observation image data and the reference image data according to an attribute of the observation image data and preprocessing the observation image data and the reference image data to determine whether or not there is an exceptional object to be excluded from a change analysis in the processed observation image data and the processed reference image data based on an event type and to process the exceptional object; and detecting a change area of the event occurrence region based on the preprocessed observation image data and the preprocessed reference image data.-
72.
公开(公告)号:US11982752B2
公开(公告)日:2024-05-14
申请号:US17282901
申请日:2020-04-29
申请人: MOBILTECH
发明人: Jae Seung Kim , Dong Hyun Suh
摘要: Proposed is a GPS error correction method performed through comparison of three-dimensional HD-maps in a duplicate area, and more particularly, a method that can calculate a correction value for a GPS error by comparing three-dimensional HD-maps of a corresponding duplicate area when the duplicate area is generated on a GPS route in the process of acquiring raw data to be used in a HD-map for autonomous driving. Particularly, in the method, an accurate correction value for the GPS error can be calculated by comparing three-dimensional point cloud data acquired by utilizing basically installed LiDAR, an Inertial Measurement Unit (IMU) and the like, without using expensive equipment such as a plurality of high-precision GPS receivers, stereo cameras or the like.
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公开(公告)号:US11967167B1
公开(公告)日:2024-04-23
申请号:US17942854
申请日:2022-09-12
申请人: Leigh M. Rothschild
发明人: Leigh M. Rothschild
CPC分类号: G06V40/10 , G06V10/74 , G06V40/50 , H04W76/14 , G06V2201/10
摘要: A system and a method for identifying and tagging individuals present in an image are disclosed. The method comprises detecting a second device present in proximity of a first device, for establishing a connection. The connection may be established while the first device enters in a camera mode. Immediately after the first device captured an image, the first device may receive identity information of individual from the second device. The identity information of individuals may comprise at least one of images and personal details of the individual. Based on the received identity information, the first device may identify the individual present in the image. The identified individuals present in the image may be tagged using their corresponding identities. Such tagging information may be stored in metadata of the image for a later usage.
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公开(公告)号:US20240112490A1
公开(公告)日:2024-04-04
申请号:US17942854
申请日:2022-09-12
申请人: Leigh M Rothschild
发明人: Leigh M Rothschild
CPC分类号: G06V40/10 , G06V10/74 , G06V40/50 , H04W76/14 , G06V2201/10
摘要: A system and a method for identifying and tagging individuals present in an image are disclosed The method comprises detecting a second device present in proximity of a first device, for establishing a connection. The connection may be established while the first device alters in a camera mode. Immediately after the first device captured an image, the first device may receive identity information of individuals from the second device. The identity information of individuals may comprise at least one of images and personal details of the individuals. Based on the received identity information, the first device may identify the individuals present in the image. The identified individuals present in the image may be tagged using their corresponding identities. Such tagging information may be stored in metadata of the image for a later usage.
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公开(公告)号:US20240096051A1
公开(公告)日:2024-03-21
申请号:US18520699
申请日:2023-11-28
申请人: DigiCert, Inc.
摘要: Systems and methods are provided for creating authentic baseline data from high-resolution and high-definition audio and video data and for using the authentic baseline data to determine if an unknown video is real or fake. A method, according to one implementation, includes examining a questionable video of a prominent individual, wherein the questionable video shows the prominent individual speaking. The method also includes detecting speech characteristics of the prominent individual from the questionable video and detecting bodily movements of the prominent individual from the questionable video while the prominent individual is speaking. Furthermore, the method includes comparing the detected speech characteristics and detected bodily movements with reliable baseline characteristics that are certified as authentic. Based on the comparing step, the method also includes tagging the questionable video as fake or real.
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76.
公开(公告)号:US20240095876A1
公开(公告)日:2024-03-21
申请号:US18039648
申请日:2021-12-01
发明人: Homayoun Bagherinia
CPC分类号: G06T3/0068 , G06T7/0012 , G06T11/008 , G06V10/74 , G06V40/197 , G06T2207/10101 , G06T2207/20081 , G06T2207/30041
摘要: A system/method/device for registering two OCT data sets defines multiple image pairs of corresponding 2D representations of one or more corresponding sub-volumes in the two OCT data sets. Matching landmarks in the multiple image pairs are identified, as a group, and a set of transformation parameters are defined based on matching landmarks from all of the image pairs. The two OCT data sets may then be registered based on the set of transformation parameters.
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公开(公告)号:US11935325B2
公开(公告)日:2024-03-19
申请号:US17603137
申请日:2019-06-25
发明人: Maciej Stawiszynski , Pawel Jurzak
CPC分类号: G06V40/171 , G06F16/53 , G06F16/58 , G06V10/74 , G06V10/95 , G06V40/172
摘要: Techniques for saving bandwidth in performing facial recognition are provided. An image including a face may be received, over a wireless link, at a first resolution. A facial recognition system may identify a subset of people who may be associated with the face, wherein the facial recognition system cannot definitively associate the face with an individual person in the subset of people, based on the image including the face at the first resolution. A feature of the subset of people that may be used to identify a person within the subset of people may be determined. A request for the portion of the image containing the feature at a second resolution may be sent over the wireless link. The second resolution may be higher than the first.
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78.
公开(公告)号:US11928184B2
公开(公告)日:2024-03-12
申请号:US17349241
申请日:2021-06-16
申请人: SICK IVP AB
发明人: Ola Friman , Anders Moe , Kristoffer Öfjäll
IPC分类号: G06V10/74 , G06F18/21 , G06F18/214 , G06F18/22 , G06V10/774 , G06V20/64
CPC分类号: G06F18/217 , G06F18/214 , G06F18/22 , G06V10/74 , G06V10/774 , G06V20/64
摘要: Device(s) and method supporting generation of a second object model, based on a first object model, for object matching according to an object matching algorithm. The first object model comprising object features of an imaged reference object. It is obtained sub-models that comprise different sub-features, respectively, of said object features comprised in the first object model. It is provided contribution indicators for the sub-models, respectively. Each contribution indicator indicating contribution of the sub-feature to incorrect matches. The contribution indicators being based on matching, according to the object matching algorithm, the first object model and the sub-models with at least one model optimization image comprising predefined training features that when matched with the first object model result in at least said incorrect matches.
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公开(公告)号:US20240070610A1
公开(公告)日:2024-02-29
申请号:US17900038
申请日:2022-08-31
申请人: NCR Corporation
发明人: Naveen Kumar Ponnaganti , Tharun Kumar Ponnaganti , Sanketh Bachoti , Akansha Prakash Chourasia , Prasanna Rajasree Mattupalli , Yaswanth Sai Velamur , Shashank Vishwanatham
CPC分类号: G06Q10/087 , G06V10/25 , G06V10/74 , G06V20/36 , G06V20/52
摘要: A machine-learning model (MLM) is trained to identify a given item identifier for an item and shelf dimensions of an empty space associated with the item from training images of a shelf. After training, real-time images of the shelf are provided as input to the MLM and the output provided by the MLM includes empty space identifiers, dimensions or pixel coordinates for each empty space identifier, and an item identifier for each empty space identifier. A quantity of each item identifier is determined based on known shelf dimensions that the corresponding item should occupy on a fully stocked shelf and based on the corresponding empty space dimensions for the empty space associated with the item. A real-time report is sent to store personnel and/or published on a website monitored by the store personnel. The report identifies the items, the shelves, and restocking item quantities that need restocked in the store.
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公开(公告)号:US20240065781A1
公开(公告)日:2024-02-29
申请号:US18030919
申请日:2020-12-03
发明人: YUANQIAN GAO , JIANCHEN WANG
IPC分类号: A61B34/00 , A61B34/37 , G06T5/00 , G06T7/00 , G06T7/64 , G06T7/73 , G06T11/00 , G06T13/00 , G06V10/44 , G06V10/74 , G06V20/50 , H04N7/18
CPC分类号: A61B34/25 , A61B34/37 , G06T5/006 , G06T7/0012 , G06T7/64 , G06T7/75 , G06T11/00 , G06T13/00 , G06V10/44 , G06V10/74 , G06V20/50 , H04N7/183 , A61B2034/2059 , G06T2200/24 , G06T2207/30004 , G06T2210/41 , G06V2201/034
摘要: A surgical robot, and a graphical control device and graphic display method therefor. The surgical robot includes: an input portion; a display (22); an operating arm (31) having a feature point sequence consisting of feature points arranged orderly, the feature points representing joints; and a controller. The controller is coupled to the input portion, the display (22) and sensors, and configured to: obtain the feature point sequence of the operating arm (31) and a corresponding kinematic model thereof (S11); obtain joint variables sensed by the sensors (S12), and obtain a virtual camera selected by the input portion (S13); determine a projection point of each feature point in the feature point sequence on a projection plane of the virtual camera according to the kinematic model and the joint variables (S14); orderly fit and connect each projection point to generate a projected image of the operating arm (31)(S15); and display the projected image on the display (22)(S16). The surgical robot helps a doctor in observing a motion state of the operating arm (31) in all orientations.
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