公开(公告)号：US20190195721A1

公开(公告)日：2019-06-27

申请号：US16327161

申请日：2017-08-18

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Jennifer F. Schumacher ,  Saber Taghaeeyan ,  Ronald D. Jesme ,  Andrew P. Bonifas ,  Nicholas G. Amell ,  Brock A. Hable ,  Golshan Golnari

IPC: G01M3/28 ,  G01M3/22 ,  G01N33/00 ,  G01N33/18 ,  G06Q50/06

CPC classification number: G01M3/2807 ,  G01M3/22 ,  G01M3/28 ,  G01N33/0031 ,  G01N33/0047 ,  G01N33/18 ,  G06Q50/06 ,  G06Q50/26

Abstract: Systems and methods are provided for determining sensor or infrastructure placement in a fluid network, for determining an anomaly of interest in the fluid network, and for optimally determining sensor coverage in a fluid network, which are based on a model of the fluid network represented by a directed graph.

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

IPC: G06F17/50 ,  G06F17/10 ,  A61C9/00

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。

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

IPC: G06F19/12 ,  G06F17/10

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。