Patents
US 12530775 B2: Model-based deep learning for globally optimal surface segmentation
- Granted
- 2026-01-20
- Filed
- 2021-07-01 application 17365572
- Type
- Utility · 19 claims
- Elsewhere
- Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗
Abstract
An automated method for segmentation includes steps of receiving at a computing device an input image representing at least one surface and performing by the computing device image segmentation on the input image based on a graph surface segmentation model with deep learning. The deep learning may be used to parameterize the graph surface segmentation model.
Source: PTBLXML, file of 2026-01-20 (ipgb20260120.xml).
Assignees
| Assignee | Type | Place | Also on furp.org | Source |
|---|---|---|---|---|
| UNIVERSITY OF IOWA RESEARCH FOUNDATION 401 patents | US company or organization | Iowa City, IA | UNIVERSITY OF IOWA RESEARCH FOUNDATION Nonprofit EXACT high confidence: identical full name and state | PTBLXML, file of 2026-01-20 |
Inventors
| Inventor | Place | Patents | Person page | Source |
|---|---|---|---|---|
| Xiaodong Wu | Iowa City, IA | 50 | PTBLXML, file of 2026-01-20 | |
| Leixin Zhou | Iowa City, IA | PTBLXML, file of 2026-01-20 | ||
| John M Buatti | Iowa City, IA | PTBLXML, file of 2026-01-20 | ||
| Hui Xie | North Liberty, IA | PTBLXML, file of 2026-01-20 |
CPC categories
| Subclass | Category | First group | Source |
|---|---|---|---|
| G06T | Image data processing or generation, in general | G06T7/11 | PTBLXML, file of 2026-01-20 |
Cooperative Patent Classification, as currently assigned (one row per subclass).
Assignments and security interests
No recorded assignments or security interests on file for this patent.
USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.