Data augmentation for object detection via differential neural rendering
US12019706B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 23, 2021 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Aug 24, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and a method for object detection using augmented training dataset. The system includes a computing device, which is configured to: provide a two-dimensional (2D) image, extract feature vectors and estimate depths of 2D image pixels, generate a point cloud using the feature vectors and the depths, and project the point cloud using a new camera pose to obtain a projected image. The 2D image has a bounding box enclosing an object and labeled with the object. Each pixel within the bounding box is named bounding box pixel, each point in the point cloud corresponding to the bounding box pixel is named bounding box point, each image pixel in the projected image corresponding to the bounding box point is named projected bounding box pixel, and a projected bounding box is defined using the projected bounding box pixels and labeled with the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.