Three-dimensional segmentation of digital models utilizing soft classification geometric tuning
US10706554B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 14, 2017 |
| Grant date | Jul 7, 2020 |
| Priority date | — |
| Expiry date | Apr 21, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure includes methods and systems for identifying and manipulating a segment of a three-dimensional digital model based on soft classification of the three-dimensional digital model. In particular, one or more embodiments of the disclosed systems and methods identify a soft classification of a digital model and utilize the soft classification to tune segmentation algorithms. For example, the disclosed systems and methods can utilize a soft classification to select a segmentation algorithm from a plurality of segmentation algorithms, to combine segmentation parameters from a plurality of segmentation algorithms, and/or to identify input parameters for a segmentation algorithm. The disclosed systems and methods can utilize the tuned segmentation algorithms to accurately and efficiently identify a segment of a three-dimensional digital model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.