Method for co-segmentating three-dimensional models represented by sparse and low-rank feature
US10152797B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 2, 2017 |
| Grant date | Dec 11, 2018 |
| Priority date | — |
| Expiry date | Jun 8, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/103
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Presently disclosed is a method for co-segmenting three-dimensional models represented by sparse and low-rank feature, comprising: pre-segmenting each three-dimensional model of a three-dimensional model class to obtain three-dimensional model patches for the each three-dimensional model; constructing a histogram for the three-dimensional model patches of the each three-dimensional model to obtain a patch feature vector for the each three-dimensional model; performing a sparse and low-rank representation to the patch feature vector for the each three-dimensional model to obtain a representation coefficient and a representation error of the each three-dimensional model; determining a confident representation coefficient for the each three-dimensional model according to the representation coefficient and the representation error of the each three-dimensional model; and clustering the confident representation coefficient of the each three-dimensional model to co-segment the each three-dimensional model respectively.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.