3D object detection using random forests
US12236639B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 13, 2019 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Jun 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/10028
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Example embodiments allow for fast, efficient detection and pose estimation of objects based on point clouds, depth images/maps, or other depth information about a scene that may contain the objects. Embodiments include translating and rotating the depth image to bring individual points of the depth image to a standard orientation and location so as to improve performance when an object is near the periphery of the field of view. Some disclosed embodiments include applying a random forest to perform pose estimation. By using the decision trees or other fast methods, it can be advantageous to perform pose estimation a plurality of times prior to identifying whether a particular object is actually present in a scene. Prospective pose estimates can be combined with models of the objects in order to evaluate whether the object is present in the scene.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.