Machine learning feature vector generator using depth image foreground attributes
US11164319B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 11, 2019 |
| Grant date | Nov 2, 2021 |
| Priority date | — |
| Expiry date | Mar 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects provide a method, including: receiving a depth image from a depth sensor; receiving a segmentation mask corresponding to the depth image and segmenting the depth image into a set of foreground pixels and a set of background pixels; determining a set of seed pixels in the depth image; for each respective seed pixel of the set of seed pixels: determining a sampling line in the depth image that starts at the respective seed pixel and passes through a portion of the depth image; for each respective sampling line pixel in the sampling line having a value in the segmentation mask indicating a foreground object in the depth image: determining one or more data attribute values based on a depth value for the respective sampling line pixel in the depth image; and adding the one or more data attribute values to a feature vector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.