Predicting image warping for structure from motion using neural networks
US12322126B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 3, 2022 |
| Grant date | Jun 3, 2025 |
| Priority date | — |
| Expiry date | May 31, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/172
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various examples, methods and systems are provided for estimating depth values for images (e.g., from a monocular sequence). Disclosed approaches may define a search space of potential pixel matches between two images using one or more depth hypothesis planes based at least on a camera pose associated with one or more cameras used to generate the images. A machine learning model(s) may use this search space to predict likelihoods of correspondence between one or more pixels in the images. The predicted likelihoods may be used to compute depth values for one or more of the images. The predicted depth values may be transmitted and used by a machine to perform one or more operations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.