Invention Grant
US08380644B2 System and method for prototyping by learning from examples wherein a prototype is calculated for each shape class cluster
失效
通过从示例中学习的原型设计的系统和方法,其中为每个形状类簇计算原型
- Patent Title: System and method for prototyping by learning from examples wherein a prototype is calculated for each shape class cluster
- Patent Title (中): 通过从示例中学习的原型设计的系统和方法,其中为每个形状类簇计算原型
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Application No.: US12702362Application Date: 2010-02-09
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Publication No.: US08380644B2Publication Date: 2013-02-19
- Inventor: Alexander Zouhar , Sajjad Hussain Baloch , Sergei Azernikov , Claus Bahlmann , Tong Fang , Gozde Unal , Siegfried Fuchs
- Applicant: Alexander Zouhar , Sajjad Hussain Baloch , Sergei Azernikov , Claus Bahlmann , Tong Fang , Gozde Unal , Siegfried Fuchs
- Applicant Address: DE Erlangen
- Assignee: Siemens Audiologische Technik GmbH
- Current Assignee: Siemens Audiologische Technik GmbH
- Current Assignee Address: DE Erlangen
- Agency: F. Chau & Associates, LLC
- Agent Donald B. Paschburg
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
A method for specifying design rules for a manufacturing process includes providing a training set of 3D point meshes that represent an anatomical structure, for each 3D point mesh, finding groupings of points that define clusters for each shape class of the anatomical structure, calculating a prototype for each shape class cluster, and associating one or more manufacturing design rules with each shape class prototype. The method includes providing a new 3D point mesh that represents an anatomical structure, calculating a correspondence function that maps the new 3D point mesh to a candidate shape class prototype by minimizing a cost function, calculating a transformation that aligns points in the new 3D point mesh with points in the candidate shape class prototype, and using the rules associated with the shape class prototype, if the candidate shape class prototype is successfully aligned with the new 3D point mesh.
Public/Granted literature
- US20100217417A1 SYSTEM AND METHOD FOR PROTOTYPING BY LEARNING FROM EXAMPLES Public/Granted day:2010-08-26
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