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公开(公告)号：US12026862B2
公开(公告)日：2024-07-02
申请号：US17640440
申请日：2020-10-08
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Christopher R. Yungers , Nathan A. Christopherson , Jonathan D. Gandrud , Justin M. Johnson , Subhalakshmi M. Falknor
CPC classification number: G06T5/92 , G06K7/1413 , G06T7/11 , G06T7/136 , G06T7/90 , G06T2207/10016 , G06T2207/10024 , G06T2207/30204 , G06V10/28
Abstract: At least some embodiments of the present disclosure directs to a method for processing an input image having an embedded element, comprising the steps of: computing one or more histograms of the input image; identifying a range of interest in one of the one or more histograms; and determining, by the processor, a threshold based on the range of interest. In some embodiments, a computing device processes the input image using the threshold to generate an output image.
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公开(公告)号：US20230153476A1
公开(公告)日：2023-05-18
申请号：US17917211
申请日：2021-05-14
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Cameron M. Fabbri , Jonathan D. Gandrud , Joseph C. Dingeldein , James D. Hansen , Benjamin D. Zimmer , Jianbing Huang
CPC classification number: G06F30/10 , A61C13/0004 , A61C13/34 , G06T17/20
Abstract: Techniques are described for automating the design of dental restoration appliances using neural networks. An example computing device receives transform information associated with a current dental anatomy of a dental restoration patient, provides the transform information associated with the current dental anatomy of the dental restoration patient as input to a neural network trained with transform information indicating placement of a dental appliance component with respect to one or more teeth of corresponding dental anatomies, the dental appliance being used for dental restoration treatment for the one or more teeth, and executes the neural network using the input to produce placement information for the dental appliance component with respect to the current dental anatomy of the dental restoration patient.
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公开(公告)号：US20220343092A1
公开(公告)日：2022-10-27
申请号：US17640440
申请日：2020-10-08
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Christopher R. Yungers , Nathan A. Christopherson , Jonathan D. Gandrud , Justin M. Johnson , Subhalakshmi M. Falknor
Abstract: At least some embodiments of the present disclosure directs to a method for processing an input image having an embedded element, comprising the steps of: computing one or more histograms of the input image; identifying a range of interest in one of the one or more histograms; and determining, by the processor, a threshold based on the range of interest. In some embodiments, a computing device processes the input image using the threshold to generate an output image.
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公开(公告)号：US20210259808A1
公开(公告)日：2021-08-26
申请号：US17261717
申请日：2019-07-29
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Nitsan Ben-Gal Nguyen , Benjamin D. Zimmer , Guruprasad Somasundaram , Alexandra R. Cunliffe , Brian J. Stankiewicz , Elisa J. Collins , David T. Maiden Mueller , Steven C. Demlow , Cody J. Olson , Muhammad J. Afridi , Nancy Amato , Shawna L. Thomas , Alexander Gutierrez , Arash Sangari , Jonathan D. Gandrud
Abstract: An automated method for generating a final setup for orthodontic treatment. The method includes receiving a digital 3D model of teeth in an initial state. The method computes a scoring function based upon metrics related to the initial state to generate a corresponding score, perturbs the state of the teeth through translations and rotations of a tooth or set of teeth to generate a perturbed state of the teeth, and updates the state of the teeth based upon the score and the perturbed state of the teeth to generate one or more final setups representing a final state of the teeth after the orthodontic treatment.
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公开(公告)号：US20190391304A1
公开(公告)日：2019-12-26
申请号：US16486311
申请日：2017-09-27
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Michael A. McCoy , Glenn E. Casner , Anne C. Gold , Silvia Geciova-Borovova Guttmann , Charles A. Shaklee , Robert W. Shannon , Gautam Singh , Guruprasad Somasundaram , Andrew H. Tilstra , John A. Wheatley , Caroline M. Ylitalo , Arash Sangari , Alexandra R. Cunliffe , Jonathan D. Gandrud , Kui Chen-Ho , Travis L. Potts , Maja Giese , Andreas M. Geldmacher , Katja Hansen , Markus G.W. Lierse , Neeraj Sharma
Abstract: The present disclosure includes in one instance an optical article comprising a data rich plurality of retroreflective meats that are configured in a spatially defined arrangement, where the plurality of retroreflective elements comprise retroreflective elements having at least two different retroreflective properties, and where data rich means information that is readily machine interpretable. The present disclosure also includes a system comprising the previously mentioned optical article, an optical system, and an inference engine for interpreting and classifying the plurality of retroreflective elements wherein the optical system feeds data to the inference engine.
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Patent Agency Ranking
公开(公告)号：US11960795B2
公开(公告)日：2024-04-16
申请号：US17917211
申请日：2021-05-14
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Cameron M. Fabbri , Jonathan D. Gandrud , Joseph C. Dingeldein , James D. Hansen , Benjamin D. Zimmer , Jianbing Huang
CPC classification number: G06F30/10 , A61C13/0004 , A61C13/34 , G06T17/20
Abstract: Techniques are described for automating the design of dental restoration appliances using neural networks. An example computing device receives transform information associated with a current dental anatomy of a dental restoration patient, provides the transform information associated with the current dental anatomy of the dental restoration patient as input to a neural network trained with transform information indicating placement of a dental appliance component with respect to one or more teeth of corresponding dental anatomies, the dental appliance being used for dental restoration treatment for the one or more teeth, and executes the neural network using the input to produce placement information for the dental appliance component with respect to the current dental anatomy of the dental restoration patient.
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公开(公告)号：US20240008955A1
公开(公告)日：2024-01-11
申请号：US18253699
申请日：2021-12-02
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Jonathan D. Gandrud , Alexandra R. Cunliffe , James D. Hansen , Cameron M. Fabbri , Wenbo Dong , En-Tzu Yang , Jianbing Huang , Himanshu Nayar , Guruprasad Somasundaram , Jineng Ren , Joseph C. Dingeldein , Seyed Amir Hossein Hosseini , Steven C. Demlow , Benjamin D. Zimmer
CPC classification number: A61C7/002 , A61C13/0004 , A61C2007/004
Abstract: Machine learning, or geometric deep learning, applied to various dental processes and 5 solutions. In particular, generative adversarial networks apply machine learning to smile design—finished smile, appliance rendering, scan cleanup, restoration appliance design, crown and bridges design, and virtual debonding. Vertex and edge classification apply machine learning to gum versus teeth detection, teeth type segmentation, and brackets and other orthodontic hardware. Regression applies machine learning to coordinate systems, diagnostics, case complexity, and 0 prediction of treatment duration. Automatic encoders and clustering apply machine learning to grouping of doctors, or technicians, and preferences.
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公开(公告)号：US20230347187A1
公开(公告)日：2023-11-02
申请号：US18002298
申请日：2021-05-21
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Jonathan D. Gandrud , Steven T. Awiszus , Shane A. Hainey
CPC classification number: A62B18/088 , A62B9/006 , A62B18/006
Abstract: A filter cartridge for a respirator includes an RFID chip encoding a digital change management policy (DCMP) indicating a useful lifespan of the cartridge, so that the cartridge may be replaced at the end of the useful lifespan. In some examples, a system includes a respirator comprising a facepiece and an air blower; a removable contaminant capture cartridge installed within the respirator and configured to remove contaminants from the air as the air passes through the contaminant capture cartridge, wherein the contaminant capture cartridge comprises a radio frequency identification (RFID) chip encoding a digital change management policy (DCMP) indicating a useful lifespan of the contaminant capture cartridge; and a computing device configured to read the DCMP from the RFID chip or write the DCMP to the RFID chip.
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公开(公告)号：US20230306222A1
公开(公告)日：2023-09-28
申请号：US18295461
申请日：2023-04-04
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Michael A. McCoy , Glenn E. Casner , Anne C. Gold , Silvia Geciova-Borovova Guttmann , Charles A. Shaklee , Robert W. Shannon , Gautam Singh , Guruprasad Somasundaram , Andrew H. Tilstra , John A. Wheatley , Caroline M. Ylitalo , Arash Sangari , Alexandra R. Cunliffe , Jonathan D. Gandrud , Kui Chen-Ho , Travis L. Potts , Maja Giese , Andreas M. Geldmacher , Katja Hansen , Markus G.W. Lierse , Neeraj Sharma
CPC classification number: G06K19/06037 , G02B5/12 , G02B5/124 , G02B5/305 , G02B5/3025 , G06K2019/0629
Abstract: The present disclosure includes in one instance an optical article comprising a data rich plurality of retroreflective elements that are configured in a spatially defined arrangement, where the plurality of retroreflective elements comprise retroreflective elements having at least two different retroreflective properties, and where data rich means information that is readily machine interpretable. The present disclosure also includes a system comprising the previously mentioned optical article, an optical system, and an inference engine for interpreting and classifying the plurality of retroreflective elements wherein the optical system feeds data to the inference engine.
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公开(公告)号：US11450140B2
公开(公告)日：2022-09-20
申请号：US17301816
申请日：2021-04-15
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Robert W. Shannon , Douglas S. Dunn , Glenn E. Casner , Jonathan D. Gandrud , Shannon D. Scott , Gautam Singh
Abstract: In some examples, a method includes determining, by a computing device, a plurality of regions of interest of an image for independently processing relative to a plane of interest; determining, by the computing device and for respective regions of interest of the plurality of regions of interest, a distance from objects within the respective regions of interest to the plane of interest; and processing, by the computing device and independently for the respective regions of interest, the respective regions of interest of the image based on the determined distance from the objects to the plane of interest.
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