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公开(公告)号：US20180300877A1
公开(公告)日：2018-10-18
申请号：US16018115
申请日：2018-06-26
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Ravishankar Sivalingam , Evan J. Ribnick , Kevin S. Xu
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：US10032271B2
公开(公告)日：2018-07-24
申请号：US14965033
申请日：2015-12-10
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Ravishankar Sivalingam , Evan J. Ribnick , Kevin S. Xu , Deepti Pachauri
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：US09737257B2
公开(公告)日：2017-08-22
申请号：US14609529
申请日：2015-01-30
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Evan J. Ribnick , Guruprasad Somasundaram , Brian J. Stankiewicz , Aya Eid , Ravishankar Sivalingam , Shannon D. Scott , Anthony J. Sabelli , Robert D. Lorentz
CPC classification number: A61B5/4557 , A61B5/0062 , A61B5/0088 , A61B5/4547 , A61B5/7275 , A61B5/743 , A61B2576/02 , A61C9/0053 , G06F19/00 , G06F19/30 , G06T7/0014 , G06T7/11 , G06T2207/10028 , G06T2207/30036
Abstract: Methods for estimating and predicting tooth wear based upon a single 3D digital model of teeth. The 3D digital model is segmented to identify individual teeth within the model. A digital model of a tooth is selected from the segmented model, and its original shape is predicted. The digital model is compared with the predicted original shape to estimate wear areas. A mapping function based upon values relating to tooth wear can also be applied to the selected digital model to predict wear of the tooth.
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公开(公告)号：US20160328857A1
公开(公告)日：2016-11-10
申请号：US15213598
申请日：2016-07-19
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Ravishankar Sivalingam , David M. Mahli , Cristin E. Moran , Richard J. Moore , Pontus Axelsson , Michael Rotstein , Roland Persson
CPC classification number: G06K9/00463 , G06F3/0481 , G06F17/241 , G06F17/242 , G06K9/00456 , G06K9/3216 , G06K9/34 , G06K2009/3225 , G06T7/10 , G06T7/11 , H04N1/04
Abstract: Techniques for creating and manipulating software notes representative of physical notes are described. A computing device includes a processor, an image collection module executable by the processor and configured to receive an input image of an environment having a plurality of overlapping physical notes, and an image processing engine executable by the processor and configured to process the input image with the computing device to identify the plurality of overlapping physical notes in the input image. The image processing engine determines a boundary of each note in the plurality of overlapping physical notes in the input image, and generates a plurality of digital notes corresponding to the determined boundary of each of the overlapping physical notes identified in the input image.
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公开(公告)号：US09412174B2
公开(公告)日：2016-08-09
申请号：US14514473
申请日：2014-10-15
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Ravishankar Sivalingam , David M. Mahli , Cristin E. Moran , Richard J. Moore , Pontus Axelsson , Michael Rotstein , Roland Persson
CPC classification number: G06T7/0081 , G06F3/0481 , G06F17/241 , G06F17/242 , G06K9/00456 , G06K9/00463 , G06K9/3216 , G06K9/34 , G06K2009/3225 , G06T7/10 , G06T7/11 , H04N1/04
Abstract: Techniques for creating and manipulating software notes representative of physical notes are described. A computing device includes a processor, an image collection module executable by the processor and configured to receive an input image of an environment having a plurality of overlapping physical notes, and an image processing engine executable by the processor and configured to process the input image with the computing device to identify the plurality of overlapping physical notes in the input image. The image processing engine determines a boundary of each note in the plurality of overlapping physical notes in the input image, and generates a plurality of digital notes corresponding to the determined boundary of each of the overlapping physical notes identified in the input image.
Abstract translation: 描述用于创建和操纵表示物理笔记的软件笔记的技术。 计算设备包括处理器，可由处理器执行并被配置为接收具有多个重叠物理笔记的环境的输入图像的图像收集模块，以及可由处理器执行的图像处理引擎，并且被配置为处理输入图像与 该计算装置用于识别输入图像中的多个重叠的物理笔记。 图像处理引擎确定输入图像中的多个重叠物理笔记中的每个音符的边界，并且生成对应于在输入图像中识别的每个重叠物理音符的确定的边界的多个数字音符。
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Patent Agency Ranking
公开(公告)号：US20160220173A1
公开(公告)日：2016-08-04
申请号：US14609529
申请日：2015-01-30
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Evan J. Ribnick , Guruprasad Somasundaram , Brian J. Stankiewicz , Aya Eid , Ravishankar Sivalingam , Shannon D. Scott , Anthony J. Sabelli , Robert D. Lorentz
CPC classification number: A61B5/4557 , A61B5/0062 , A61B5/0088 , A61B5/4547 , A61B5/7275 , A61B5/743 , A61B2576/02 , A61C9/0053 , G06F19/00 , G06F19/30 , G06T7/0014 , G06T7/11 , G06T2207/10028 , G06T2207/30036
Abstract: Methods for estimating and predicting tooth wear based upon a single 3D digital model of teeth. The 3D digital model is segmented to identify individual teeth within the model. A digital model of a tooth is selected from the segmented model, and its original shape is predicted. The digital model is compared with the predicted original shape to estimate wear areas. A mapping function based upon values relating to tooth wear can also be applied to the selected digital model to predict wear of the tooth.
Abstract translation: 基于单个3D数字模型牙齿估计和预测牙齿磨损的方法。 3D数字模型被分割以识别模型内的单个牙齿。 从分段模型中选择牙齿的数字模型，并预测其原始形状。 将数字模型与预测的原始形状进行比较，以估计磨损面积。 基于与牙齿磨损相关的值的映射函数也可以应用于所选择的数字模型以预测牙齿的磨损。
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公开(公告)号：US20160070821A1
公开(公告)日：2016-03-10
申请号：US14479692
申请日：2014-09-08
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Evan J. Ribnick , Ravishankar Sivalingam , Shannon D. Scott , Golshan Golnari , Aya Eid
CPC classification number: G06F17/50 , A61C7/00 , A61C9/004 , A61C13/0004 , A61C2007/004
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: 将由3D网格表示的数字3D模型对准到3D坐标系中的期望取向的方法。 该方法包括以随机对准方式接收3D网格并改变3D网格的方向以将数字3D模型与3D坐标系中的所需轴对齐。 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：US20160004811A1
公开(公告)日：2016-01-07
申请号：US14321318
申请日：2014-07-01
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Evan J. Ribnick , Ravishankar Sivalingam , Aya Eid , Theresa M. Meyer , Golshan Golnari , Anthony J. Sabelli
CPC classification number: G06T7/0016 , A61B5/0088 , A61B5/4547 , A61C7/002 , A61C9/0053 , A61C19/04 , G06F17/50 , G06T7/11 , G06T13/20 , G06T15/08 , G06T19/20 , G06T2200/04 , G06T2207/30036 , G06T2210/41
Abstract: A method for detecting tooth wear using digital 3D models of teeth taken at different times. The digital 3D models of teeth are segmented to identify individual teeth within the digital 3D model. The segmentation includes performing a first segmentation method that over segments at least some of the teeth within the model and a second segmentation method that classifies points within the model as being either on an interior of a tooth or on a boundary between teeth. The results of the first and second segmentation methods are combined to generate segmented digital 3D models. The segmented digital 3D models of teeth are compared to detect tooth wear by determining differences between the segmented models, where the differences relate to the same tooth to detect wear on the tooth over time.
Abstract translation: 使用在不同时间采用的数字3D模型来检测牙齿磨损的方法。 牙齿的数字3D模型被分割以识别数字3D模型内的各个牙齿。 所述分割包括执行第一分割方法，所述第一分割方法在所述模型中的至少一些所述牙齿上段划分，以及第二分割方法，其将所述模型内的点分类为在牙齿的内部或在牙齿之间的边界上。 第一和第二分割方法的结果被组合以产生分段的数字3D模型。 比较分割数字3D模型的牙齿，通过确定分段模型之间的差异来检测牙齿磨损，其中差异与相同的牙齿相关，以检测牙齿上的磨损随时间的变化。
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公开(公告)号：US10410346B2
公开(公告)日：2019-09-10
申请号：US15448978
申请日：2017-03-03
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Evan J. Ribnick , Ravishankar Sivalingam , Aya Eid , Theresa M. Meyer , Golshan Golnari , Anthony J. Sabelli
IPC: G06K9/00 , G06T7/00 , G06F17/50 , A61C9/00 , A61C19/04 , G06T7/11 , G06T13/20 , G06T15/08 , G06T19/20 , A61B5/00 , A61C7/00
Abstract: A method for detecting tooth wear using digital 3D models of teeth taken at different times. The digital 3D models of teeth are segmented to identify individual teeth within the digital 3D model. The segmentation includes performing a first segmentation method that over segments at least some of the teeth within the model and a second segmentation method that classifies points within the model as being either on an interior of a tooth or on a boundary between teeth. The results of the first and second segmentation methods are combined to generate segmented digital 3D models. The segmented digital 3D models of teeth are compared to detect tooth wear by determining differences between the segmented models, where the differences relate to the same tooth to detect wear on the tooth over time.
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公开(公告)号：US20190043255A1
公开(公告)日：2019-02-07
申请号：US16075072
申请日：2017-02-03
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
IPC: G06T17/20
Abstract: Reconstructed surface meshes can be generated based on a plurality of received surface meshes. Each surface mesh can include vertices and faces representing an object. The received surface meshes can be assigned to one of a plurality of groups, and a region of interest of each surface mesh within each group can be aligned. The reconstructed surface meshes can be generated based on the aligned regions of interest for each group.
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