IDENTIFYING A SELECTED FEATURE ON TESSELLATED GEOMETRY

Patent №

US 9,728,004

Granted

2017-08-08

Filed 2015

Owner

THE BOEING COMPANY

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14733206

A method for identifying and measuring a feature on tessellated geometry may include providing an image of a part on a display using an electronic representation of the part. The part may include a tessellated geometry. The electronic representation of the tessellated geometry of the part may include a collection of triangles defined by vertices of each triangle. The method may also include receiving selection of a feature on the tessellated geometry of the part. A first triangle of the collection of triangles that is associated with the selected feature is chosen and at least a first vertex and a second vertex of the first triangle are determined. A predefined normal to each of the vertices is also determined. The predefined normals from at least two of the vertices are used to identify and measure the feature of the part.

VisionG06T 17/20G06T 17/10

AI classification

Vision1.00
Knowledge representation0.46
Planning0.03
Natural language0.00
Evolutionary computation0.00
AI hardware0.00
Machine learning0.00
Speech0.00

Ownership

THE BOEING COMPANY

assignment · 358030397

Assignors

JENSEN, MAX N.

On an employer assignment, the assignors are typically the inventors.

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