Real-time, model-based object detection and pose estimation
US10062003B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 14, 2017 |
| Grant date | Aug 28, 2018 |
| Priority date | — |
| Expiry date | Nov 14, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/10028
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system includes a memory and a processor configured to select a set of scene point pairs, to determine a respective feature vector for each scene point pair, to find, for each feature vector, a respective plurality of nearest neighbor point pairs in feature vector data of a number of models, to compute, for each nearest neighbor point pair, a respective aligning transformation from the respective scene point pair to the nearest neighbor point pair, thereby defining a respective model-transformation combination for each nearest neighbor point pair, each model-transformation combination specifying the respective aligning transformation and the respective model with which the nearest neighbor point pair is associated, to increment, with each binning of a respective one of the model-transformation combinations, a respective bin counter, and to select one of the model-transformation combinations in accordance with the bin counters to detect an object and estimate a pose of the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.