View synthesis from sparse volume data structure
US12190558B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 10, 2022 |
| Grant date | Jan 7, 2025 |
| Priority date | — |
| Expiry date | Jul 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/64
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for transforming a neural radiance field model is described. A plurality of inputs are provided to a neural radiance field (NeRF) model that represents a 3-dimensional space having a subject, wherein each input of the plurality of inputs includes a location and a view direction and corresponds to respective colors of voxels that represent the 3-dimensional space. A spectral analysis is performed on a plurality of outputs of the NeRF model based on the plurality of inputs, wherein the plurality of outputs include the respective colors of the voxels. Frequency components of the spectral analysis that represent colors for at least some of the voxels are extracted. A sparse volume data structure that represents the 3-dimensional space and the respective colors for the at least some of the voxels is generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.