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公开(公告)号：EP3520030A1
公开(公告)日：2019-08-07
申请号：EP17781601.4
申请日：2017-09-27
Applicant: 3M Innovative Properties Company
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公开(公告)号：EP2981932B1
公开(公告)日：2018-11-14
申请号：EP14779828.4
申请日：2014-03-31
Applicant: 3M Innovative Properties Company
Inventor： BILLER, Gabriel A. , CLOVER, Kristopher W. , HENRY, Masuma W. , JUNE, Stephen M. , LINZIE, Brian L. , LORENTZ, Robert D. , MAHLI, David M. , MOORE, Richard J. , MORAN, Cristin E. , NAKAYAMA, Tasuku , PEARSON, Scott D. , POWELL, Dennard J. , RONNING, Olen , SOMASUNDARAM, Guruprasad , STANKIEWICZ, Brian J. , WOLK, Diane R.
CPC classification number: G06K9/18 , G06K9/00442 , G06K9/2063 , G06K9/3258
Abstract: At least some aspects of the present disclosure feature systems and methods for note recognition. The note recognition system includes a sensor, a note recognition module, and a note extraction module. The sensor is configured to capture a visual representation of a scene having one or more notes. The note recognition module is coupled to the sensor. The note recognition module is configured to receive the captured visual representation and determine a general boundary of a note from the captured visual representation. The note extraction module is configured to extract content of the note from the captured visual representation based on the determined general boundary of the note.
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公开(公告)号：EP3191011A1
公开(公告)日：2017-07-19
申请号：EP15839898.2
申请日：2015-08-31
Applicant: 3M Innovative Properties Company
Inventor： SOMASUNDARAM, Guruprasad , RIBNICK, Evan J. , SIVALINGAM, Ravishankar , SCOTT, Shannon D. , GOLNARI, Golshan , EID, Aya
Abstract: Methods for aligning a digital 3D model of teeth represented by a 3D mesh to a desired orientation within a 3D coordinate system. The method includes receiving the 3D mesh in random alignment and changing an orientation of the 3D mesh to align the digital 3D model of teeth with a desired axis in the 3D coordinate system. The methods can also detect a gum line in the digital 3D model to remove the gingiva from the model.
Abstract translation: 用于将由3D网格表示的牙齿的数字3D模型与3D坐标系统内的期望取向对准的方法。 该方法包括以随机对齐的方式接收3D网格并且改变3D网格的方向以将牙齿的数字3D模型与3D坐标系中的期望轴对齐。 该方法还可以检测数字3D模型中的牙龈线以从模型中去除牙龈。
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公开(公告)号：EP4307223A3
公开(公告)日：2024-04-24
申请号：EP23208458.2
申请日：2015-06-26
Applicant: 3M Innovative Properties Company
Inventor： SOMASUNDARAM, Guruprasad , RIBNICK, Evan J. , SIVALINGAM, Ravishankar , EID, Aya , TEYER, Theresa M. , GOLNARI, Golshan , SABELLI, Anthony J.
CPC classification number: A61C9/0053 , A61C7/002 , A61C19/04 , A61B5/0088 , A61B5/4547 , G06V40/10 , G06V2201/03320220101 , G06T7/11 , G06T7/0016 , G06T2207/3003620130101
Abstract: The present invention relates to a computer-implemented method for detecting and displaying tooth wear using intra-oral 3D models, the method comprising a plurality of steps executed by a processor, the plurality of steps including receiving a segmented and registered 3D digital model of at least a tooth, obtaining a first and a second segmented 3D model of the tooth from scanning the tooth at a first time and at a second time, rotating and translating the first and second models of the tooth and registering a best fit rotation and translation of the first and second models of the tooth, computing a measurement of the distance between the first and second models of the tooth, detecting initial worn areas by finding vertices that have moved significantly in the negative direction, refining worn areas through morphological operations, computing changes in volume and height between the first and second models of the tooth, displaying the changes in volume and height between the first and second models of the tooth.
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公开(公告)号：EP4239538A3
公开(公告)日：2023-11-08
申请号：EP23181450.0
申请日：2019-07-29
Applicant: 3M Innovative Properties Company
Inventor： BEN-GAL NGUYEN, Nitsan , ZIMMER, Benjamin D. , SOMASUNDARAM, Guruprasad , CUNLIFFE, Alexandra R. , STANKIEWICZ, Brian , COLLINS, Elisa J. , MAIDEN MUELLER, David T. , DEMLOW, Steven C. , OLSON, Cody J. , AFRIDI, Muhammad J. , AMATO, Nancy , THOMAS, Shawna L. , GUTIERREZ, Alexander , SANGARI, Arash , GANDRUD, Jonathan D.
Abstract: The present invention relates to a computer-implemented method of generating a final setup for orthodontic treatment using supervised machine learning for direct mapping, comprising receiving, by one or more computer processors, a training set of patient case data which includes malocclusion states and ground truth images representing final setup states for the teeth of one or more patients, wherein the final setup states represent orthodontic post-treatment positions of a person's teeth and the malocclusion states are pre-treatment positions of the teeth and are represented by digital 3D models of teeth in an initial state, generating, by the one or more computer processors using a deep neural network, a generated output image, computing, by the one or more computer processors, a distance between a generated output image and the ground truth image representing the final state using a loss function, and minimizing, by the one or more computer processors, the distance to train, at least in part, the deep neural network.
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Patent Agency Ranking
公开(公告)号：EP3624726A1
公开(公告)日：2020-03-25
申请号：EP18802265.1
申请日：2018-05-09
Applicant: 3M Innovative Properties Company
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公开(公告)号：EP3602395A1
公开(公告)日：2020-02-05
申请号：EP18718207.6
申请日：2018-03-20
Applicant: 3M Innovative Properties Company
Inventor： SHANNON, Robert W. , CASNER, Glenn E. , SOMASUNDARAM, Guruprasad , SINGH, Gautam , TILSTRA, Andrew H.
IPC: G06K9/00
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公开(公告)号：EP3582642A1
公开(公告)日：2019-12-25
申请号：EP17896864.0
申请日：2017-09-27
Applicant: 3M Innovative Properties Company
Inventor： MCCOY, Michael A. , GOLD, Anne C. , GUTTMANN, Silvia Geciova-Borovova , CASNER, Glenn E. , GARDNER, Timothy J. , KONG, Steven H. , SINGH, Gautam , KAHL, Jonathan T. , ANDERSON, Nathan J. , AUNE, Catherine L. , YLITALO, Caroline M. , BILLINGSLEY, Britton G. , AFRIDI, Muhammad Jamal , CHEN-HO, Kui , POTTS, Travis L. , SHANNON, Robert W. , SOMASUNDARAM, Guruprasad
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公开(公告)号：EP3386378A1
公开(公告)日：2018-10-17
申请号：EP16873580.1
申请日：2016-11-22
Applicant: 3M Innovative Properties Company
Inventor： SOMASUNDARAM, Guruprasad , SIVALINGAM, Ravishankar , RIBNICK, Evan J. , XU, Kevin S. , PACHAURI, Deepti
CPC classification number: G06T7/0012 , A61B5/0088 , A61C9/0053 , G06K9/00214 , G06K9/32 , G06K9/4628 , G06K9/6267 , G06K9/6271 , G06K9/66 , G06T2207/10012 , G06T2207/30036
Abstract: Methods for recognizing or identifying tooth types using digital 3D models of teeth. The methods include receiving a segmented digital 3D model of teeth and selecting a digital 3D model of a tooth from the segmented digital 3D model. An aggregation of the plurality of distinct features of the tooth is computed to generate a single feature describing the digital 3D model of the tooth. A type of the tooth is identified based upon the aggregation, which can include comparing the aggregation with features corresponding with known tooth types. The methods also include identifying a type of tooth, without segmenting it from an arch, based upon tooth widths and a location of the tooth within the arch.
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公开(公告)号：EP3317609A1
公开(公告)日：2018-05-09
申请号：EP16818580.9
申请日：2016-06-28
Applicant: 3M Innovative Properties Company
Inventor： KARASAWA, Fumio , GELDMACHER, Andreas M. , SOMASUNDARAM, Guruprasad
CPC classification number: G01N21/55 , G01N21/274 , G01N2021/551 , G01N2201/0221
Abstract: Problem: To provide a device, system, method, and program able to easily measure retroreflective coefficients using a commercially available mobile terminal having an imaging unit. Resolution Means: A device is provided that has an imaging unit for capturing an image of a target object, an observation angle acquiring unit for acquiring an observation angle determined by a positional relationship between the imaging unit, a light source for emitting light for capture and the target object, an entrance angle acquiring unit for acquiring an entrance angle of light emitted for capture incident on the target object, a converting unit for converting image data of an image to a luminance value of the target object using capture information of the image, and a calculating unit for calculating a value of a retroreflective coefficient of the target object based on an illuminance value and the luminance value of the target object.
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