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公开(公告)号：US20180333231A1
公开(公告)日：2018-11-22
申请号：US15597479
申请日：2017-05-17
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Benjamin D. Zimmer , Alexandra R. Cunliffe , Mojtaba K. Elyaderani , Arash Sangari , Evan J. Ribnick
CPC classification number: A61C9/004 , G06T19/20 , G06T2210/41
Abstract: A method for aligning digital 3D models of dental arch pairs, including a mandible and maxilla, to bring them into bite alignment. The method estimates representative planes for the mandible and maxilla 3D models and transforms the models such that the representative planes are each aligned with their respective coordinate systems and shown in a horizontal view. The method also transforms the models such that the mandible and maxilla are each aligned with a same coordinate system and shown in a front view. The digital 3D models are then brought into bite alignment such that the mandible is in occlusion with the maxilla or within a distance near to occlusion. The digital models of the bite-aligned arch pairs can also be transformed or rotated to be shown centered in a front view.
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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：US11631186B2
公开(公告)日：2023-04-18
申请号：US16634845
申请日：2018-07-25
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Muhammad J. Afridi , Elisa J. Collins , Jonathan D. Gandrud , James W. Howard , Arash Sangari , James B. Snyder
Abstract: Systems and methods for image recognition are provided. A style-transfer neural network is trained for each real image to obtain a trained style-transfer neural network. The texture or style features of the real images are transferred, via the trained style-transfer neural network, to a target image to generate styled images which are used for training an image-recognition machine learning model (e.g., a neural network). In some cases, the real images are clustered and representative style images are selected from the clusters.
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公开(公告)号：US20220054234A1
公开(公告)日：2022-02-24
申请号：US17413652
申请日：2019-12-24
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Alexandra R. Cunliffe , Benjamin D. Zimmer , Guruprasad Somasundaram , Deepti Pachauri , Jonathan D. Gandrud , Arash Sangari , Shawna L. Thomas , Nancy M. Amato
Abstract: Methods for automatically removing collisions between digital mesh objects and moving digital mesh objects between spatial arrangements. The collisions are removed from a set of digital mesh objects using a perturbation method or a mesh deformation method. After removing the collisions, the digital mesh objects are output in a state without collisions between them. The digital mesh objects can be moved between initial and final states based upon motion constraints of the mesh objects and interpolated states of them between the initial and final states. Based upon the constraints and interpolated states, a number of states for movement of the set of digital mesh objects is determined either collectively for the set or individually for each mesh object. The states can be used as digital setups for dental or orthodontic treatment planning.
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公开(公告)号：US20200219274A1
公开(公告)日：2020-07-09
申请号：US16634845
申请日：2018-07-25
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Muhammad J. Afridi , Elisa J. Collins , Jonathan D. Gandrud , James W. Howard , Arash Sangari , James B. Snyder
Abstract: Systems and methods for image recognition are provided. A style-transfer neural network is trained for each real image to obtain a trained style-transfer neural network. The texture or style features of the real images are transferred, via the trained style-transfer neural network, to a target image to generate styled images which are used for training an image-recognition machine learning N model (e.g., a neural network). In some cases, the real images are clustered and representative style images are selected from the clusters.
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Patent Agency Ranking
公开(公告)号：US12169748B2
公开(公告)日：2024-12-17
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
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：US11651179B2
公开(公告)日：2023-05-16
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
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 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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公开(公告)号：US20200229900A1
公开(公告)日：2020-07-23
申请号：US16652755
申请日：2018-09-27
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Alexandra R. Cunliffe , Benjamin D. Zimmer , Jonathan D. Gandrud , Guruprasad Somasundaram , Arash Sangari , Deepti Pachauri , Shawna L. Thomas , Nancy M. Amato
Abstract: A method for generating digital setups for an orthodontic treatment path. The method includes receiving a digital 3D model of teeth, performing interproximal reduction (IPR) on the model and, after performing the IPR, generating an initial treatment path with stages including an initial setup, a final setup, and a plurality of intermediate setups. The method also includes computing IPR accessibility for each tooth at each stage of the initial treatment path, applying IPR throughout the initial treatment path based upon the computed IPR accessibility, and dividing the initial treatment path into steps of feasible motion of the teeth resulting in a final treatment path with setups corresponding with the steps. The setups can be used to make orthodontic appliances, such as clear tray aligners, for each stage of the treatment path.
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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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