Patents
US 12749203 B2: Systems and methods for annotating image sequences with landmarks
- Granted
- 2026-09-29
- Filed
- 2021-05-21 application 17926904
- Type
- Utility · 18 claims
- Elsewhere
- Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗
Abstract
This disclosure describes various attributes and implementations of systems and methods for efficiently generating high accuracy landmark annotations for depth-based image or video data sets. For example, a Transpositional Tagging approach can automatically or semi-automatically find, identify, and track landmarks (such as human or animal joints, other structural landmarks, or other points of interest) that are visible in one imaging modality (such as infrared, optical, etc.), and transfer those labels to a second image modality (such as, e.g., near-IR depth images/videos). As a result, systems and methods provided herein can quickly generate highly specific training datasets that are then used to develop neural network models for detecting poses, positions, and/or movements in imaging modalities such as 3D and depth images.
Source: PTBLXML, file of 2026-09-29 (ipgb20260929.xml).
Assignees
| Assignee | Type | Place | Also on furp.org | Source |
|---|---|---|---|---|
| BOARD OF TRUSTEES OF MICHIGAN STATE UNIVERSITY 669 patents | US company or organization | East Lansing, MI | PTBLXML, file of 2026-09-29 |
Inventors
| Inventor | Place | Patents | Person page | Source |
|---|---|---|---|---|
| Daniel Morris | Okemos, MI | 8 | PTBLXML, file of 2026-09-29 | |
| Steven Yik | East Lansing, MI | PTBLXML, file of 2026-09-29 | ||
| Madonna Benjamin | East Lansing, MI | PTBLXML, file of 2026-09-29 | ||
| Michael Lavagnino | Lansing, MI | PTBLXML, file of 2026-09-29 |
CPC categories
| Subclass | Category | First group | Source |
|---|---|---|---|
| G06T | Image data processing or generation, in general | G06T7/248 | PTBLXML, file of 2026-09-29 |
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.