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1. 发明申请

WO2021247795A1 CALIBRATION NETWORK SYSTEMS AND METHODS OF USING THE SAME 审中-公开
公开(公告)号：WO2021247795A1
公开(公告)日：2021-12-09
申请号：PCT/US2021/035592
申请日：2021-06-03
申请人： LABSPHERE, INC. , CONRAN, David Nicholas
发明人： HOLT, Jeffrey William , DUQUETTE, Mark , DANN, Michael Wellington , SKARIN, Erik A. , MASCIA, Paul David , DURELL, Christopher Newman , RUSSELL, Brandon James , ARNOLD, William Schuren , SCHARPF, Daniel Francis , JABLONSKI, Joseph William
IPC分类号： G01J3/28 , G01J3/02 , G01J3/52 , G01J5/02 , G01J5/06 , G01J5/00 , G06T2207/10028 , G06T2207/10152 , G06T5/003 , G06T5/50 , G06T7/70 , G06T7/97
摘要： A system for calibrating a plurality of user sensors includes a calibration management system comprising a processor and a node services module and a plurality of calibration nodes disposed at a plurality of geographical locations. The processor is communicably coupled to the plurality of user sensors, the node services module, and the plurality of calibration nodes and operable to: provide calibration node information to a system associated with one of the plurality of user sensors and cause the calibration node to perform at least one calibration action after providing the calibration information, the calibration action may include performing an environmental measurement and/or providing a calibration reference signal to the user sensor. The processor is also operable to provide calibration results information containing results of the calibration action to the system associated with the one of the plurality of user sensors.

2. 发明申请

WO2021086475A1 A HIERARCHICAL PROCESSING TECHNIQUE FOR LESION DETECTION, CLASSIFICATION, AND SEGMENTATION ON MICROSCOPY IMAGES 审中-公开
公开(公告)号：WO2021086475A1
公开(公告)日：2021-05-06
申请号：PCT/US2020/047542
申请日：2020-08-22
申请人： TENCENT AMERICA LLC
发明人： CHEN, Hanbo
IPC分类号： G06T7/11 , G06T7/187 , G06T7/97 , A61B5/05
摘要： A method and apparatus include performing a first image analysis at a first resolution of an input tissue image. An uncertainty map is generated based on performing the first image analysis. A set of uncertain regions of the input tissue image are identified based on the uncertainty map. A second image analysis of the set of uncertain regions is performed at a second resolution of the tissue image that is greater than the first resolution. An analysis result is generated based on the first image analysis and the second image analysis.

3. 发明申请

WO2022213105A1 AUGMENTED REALITY IN ULTRASONIC INSPECTION 审中-公开
公开(公告)号：WO2022213105A1
公开(公告)日：2022-10-06
申请号：PCT/US2022/071465
申请日：2022-03-31
申请人： BAKER HUGHES HOLDINGS LLC
发明人： WERNER, Daniel , BUSCHKE, Paul , VAN DE VEN, Dionys , ZHANG, Weiwei
IPC分类号： G01N29/06 , G01N29/04 , G01N29/24 , G01N29/26 , G01N27/90 , G06V20/20 , A61B8/4245 , A61B8/466 , G02B27/0103 , G06F3/0484 , G06T7/97
摘要： Systems and methods for improved visualization of non-de struct ve testing (NDT) measurements are provided. A probe can be employed to acquire NDT measurements of a target. Images of the target can also be captured during testing. The captured images can be analyzed to identify selected objects therein (e.g., the target, the probe, etc.) Graphical user interfaces (GUIs) including the NDT measurements can be further generated for viewing in combination with the target. In one aspect, the GUI can be viewed as a hologram within a display of an augmented reality device when viewing the target. In another aspect, the GUI can be projected upon the target. The GUI can be configured to overlay the NDT measurements at the location where the NDT measurements are acquired. This display of the NDT measurements can help an inspector more easily relate the NDT measurements to the target and improve reporting of the NDT measurements.

4. 发明申请

WO2021146449A1 VISUAL OBJECT HISTORY 审中-公开
公开(公告)号：WO2021146449A1
公开(公告)日：2021-07-22
申请号：PCT/US2021/013471
申请日：2021-01-14
申请人： FYUSION, INC.
发明人： HOLZER, Stefan Johannes Josef , KAR, Abhishek , MUNARO, Matteo , HANCHAR, Pavel , RUSU, Radu Bogdan
IPC分类号： G06T7/70 , G06T7/11 , G06T7/269 , G06T7/231 , G06T7/00 , G06T7/30 , H04N13/243 , G06F3/04815 , G06F3/04842 , G06N3/02 , G06Q10/10 , G06Q10/20 , G06Q40/08 , G06T17/00 , G06T2200/24 , G06T2207/10016 , G06T2207/20084 , G06T2207/30244 , G06T7/0002 , G06T7/97
摘要： Orientation data for image data of an object may be determined. The orientation information may identify camera location and orientation for image data with respect to an object model represented the object at a point in time. A change to the object between different points in time may be identified by identifying a difference in image data associated with different points in time. The change may be presented in a visual representation of the object model in a user interface displayed on a display screen.

5. 发明申请

WO2021126484A1 EDGE-BASED CROP YIELD PREDICTION 审中-公开
公开(公告)号：WO2021126484A1
公开(公告)日：2021-06-24
申请号：PCT/US2020/061887
申请日：2020-11-23
申请人： X DEVELOPMENT LLC
发明人： WATSON, Kathleen , YANG, Jie , LI, Yueqi
IPC分类号： G06Q10/04 , G06T2207/10032 , G06T2207/20081 , G06T2207/20084 , G06T2207/20212 , G06T2207/30188 , G06T7/97
摘要： Implementations are described herein for edge-based real time crop yield predictions made using sampled subsets of robotically-acquired vision data. In various implementations, one or more robots may be deployed amongst a plurality of plants in an area such as a field. Using one or more vision sensors of the one or more robots, a superset of high resolution images may be acquired that depict the plurality of plants. A subset of multiple high resolution images may then be sampled from the superset of high resolution images. Data indicative of the subset of high resolution images may be applied as input across a machine learning model, with or without additional data, to generate output indicative of a real time crop yield prediction.

6. 发明申请

WO2022005622A1 SYSTEMS AND METHODS FOR RECONSTRUCTING OBJECTS USING TRANSITIONAL IMAGES 审中-公开
公开(公告)号：WO2022005622A1
公开(公告)日：2022-01-06
申请号：PCT/US2021/031892
申请日：2021-05-12
申请人： BNSF RAILWAY COMPANY
发明人： KOHLER, Rachel
IPC分类号： G06T3/40 , G06T2207/30236 , G06T3/4038 , G06T7/12 , G06T7/55 , G06T7/97
摘要： In one embodiment, a method includes receiving, by an object reconstruction module, a first image and a second image. The first image includes a first region of an object and the second image comprises a second region of the object, The method also includes identifying, by the object reconstruction module, a transitional image. The transitional image includes the first region of the object and the second region of the object. The method further includes determining, by the object reconstruction module, that the first region of the object in the transitional image and the first region of the object in the first image are equivalent regions and generating, by the object reconstruction module, a reconstruction of the object using the first image and the transitional image. The reconstruction of the object includes the first region of the object and the second region of the object and excludes equivalent regions.

7. 发明申请

WO2021259520A1 METHOD FOR SUBPIXEL DISPARITY CALCULATION 审中-公开
公开(公告)号：WO2021259520A1
公开(公告)日：2021-12-30
申请号：PCT/EP2021/025230
申请日：2021-06-24
申请人： GIDEON BROTHERS LTD.
发明人： BANIĆ, Nikola , LENAC, Kruno , LJUBIĆ, Dario , PEVEC, Luka
IPC分类号： G06T7/593 , G06T7/00 , G06N3/08 , G06N3/04 , G06T2200/28 , G06T2207/10012 , G06T2207/20081 , G06T2207/20084 , G06T7/97
摘要： The present invention relates to a computer implemented method (400) comprising receiving a first image data representative of a first image (101L) of a field of view of a first input device generated for a scene and a second image data representative of a second image (101R) of the field of view of a second input device generated for the scene, applying said first image data and said second image data to a machine learning model, computing, by said machine learning model, an output number (104) that stands for a calculated subpixel disparity between said first image (101L) and said second image (101R), wherein said machine learning model is a neural network (100), said neural network (100) is trained in a supervised training mode; and generating synthetic data comprising a plurality of synthetically generated pairs of said first image (101L) and said second image (101R), each pair comprising a predetermined subpixel disparity between said first image and said second image. Various examples of the present invention include a computing device configured to be a neural network (100) that produces accurate and reliable subpixel disparity estimation in a real-time. Synthetically generated data may be used to train the neural network (100) in a supervised manner, wherein training and prediction are performed in an end- to-end way. The neural network-based subpixel disparity calculation method (400) and system of the present invention has the advantages that accuracy can be improved, and feasibility and robustness are better.

8. 发明申请

WO2021251998A1 METHOD AND SYSTEM OF FRACABILITY MEASUREMENT BASED ON CORE FRACTURE DENSITY 审中-公开
公开(公告)号：WO2021251998A1
公开(公告)日：2021-12-16
申请号：PCT/US2020/047138
申请日：2020-08-20
申请人： SAUDI ARABIAN OIL COMPANY , ARAMCO SERVICES COMPANY
发明人： ZHANG, Si-Hai
IPC分类号： E21B25/00 , E21B41/00 , E21B43/26 , E21B2200/20 , E21B2200/22 , E21B49/02 , G01N33/24 , G01V99/005 , G06F30/20 , G06K9/6256 , G06K9/6263 , G06N7/08 , G06T11/206 , G06T2207/10012 , G06T2207/30181 , G06T2207/30242 , G06T7/70 , G06T7/97
摘要： A method for generating a fracability model of a subterranean formation. The method includes coring and collecting rock cores from a plurality of geographical locations in the subterranean formation, capturing a plurality of core images of the rock cores, generating, by a computer processor and based on the plurality of core images, a plurality of artificial fracture counts of the rock cores, computing, by the computer processor and based on the plurality of artificial fracture counts, a first fracture density curve corresponding to a first geographical location of the plurality of geographical locations, generating, by the computer processor and based on the first fracture density curve, a first fracability measure curve of the rock cores, and generating, by the computer processor and based at least on the first fracability measure curve, a fracability model of the subterranean formation.

9. 发明申请

WO2020226758A2 DIFFUSION TENSOR MR TO MONITOR GLYMPHATIC SYSTEM 审中-公开
公开(公告)号：WO2020226758A2
公开(公告)日：2020-11-12
申请号：PCT/US2020/023740
申请日：2020-05-20
申请人： SYNAPTEC NETWORK, INC.
发明人： JORDAN, Dr. Sheldon
IPC分类号： A61B5/055 , A61B5/00 , G01R33/563 , G01R33/56 , G01R33/48 , A61B5/0042 , A61B5/4809 , A61B5/4842 , A61B5/4848 , G01R33/4806 , G01R33/5608 , G01R33/56341 , G06T2207/10088 , G06T2207/10092 , G06T2207/30016 , G06T7/0016 , G06T7/97 , G16H10/60 , G16H30/40 , G16H50/20 , G16H50/30 , G16H50/50
摘要： Systems and methods are contemplated for monitoring and analyzing the glymphatic system and brain to predict, prognose, diagnose, treat, modify or improve treatment, and track progression of neurological diseases. A first and second MRI image are taken of an extracellular space in a region of interest in a patient's brain, with one image taken while the patient is awake and the other image taken while the patient is asleep. The first and second images are compared to detect changes in the extracellular space, and the comparison is used to predict, prognose, diagnose, treat, modify or improve treatment, and track progression of neurological diseases associated with the extracellular space.

10. 发明申请

WO2022017779A2 MAP FOR AUGMENTED REALITY 审中-公开
公开(公告)号：WO2022017779A2
公开(公告)日：2022-01-27
申请号：PCT/EP2021/068642
申请日：2021-07-06
申请人： INTERDIGITAL CE PATENT HOLDINGS, SAS
发明人： JOUET, Pierrick , FRADET, Matthieu , ALLEAUME, Vincent , BAILLARD, Caroline , LUO, Tao , LAURENT, Anthony
IPC分类号： G06T15/04 , G06T7/00 , G06T15/10 , G06T17/00 , G06T2210/04 , G06T7/97
摘要： In an augmented reality system, a map of the real environment is generated from a 3D textured mesh obtained through captured data representing the real environment. Some processing is done on the mesh to remove unnecessary elements and generate the map that comprises a set of 2D pictures: one picture for the ground level and one picture for the other elements of the scene. The generated map may then be rendered on an augmented reality device. The ground and the non-ground content may be rendered independently, then additional elements, such as other users of the augmented reality scene or virtual objects, are localized and represented in the map in real-time using a proxy. The rendering can be adapted to the user poses and to the devices themselves.

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