Image processing for generating three-dimensional shape and spatially-varying reflectance of the object using a deep neural network
US11410378B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 7, 2021 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Apr 7, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of image processing is described. The method comprises receiving a set of at least three images of an object including at least two linearly-polarized images and at least one color image, wherein the three images have the same view of the object and are acquired under the same illumination condition in which either diffuse polarization or specular polarization dominates in surface reflectance, and wherein a set of Stokes parameters s0, s1 and s2 is determinable from the at least three images. The method further comprises generating three-dimensional shape and spatially-varying reflectance of the object from the set of at least three images using a deep neural network trained with a plurality of sets of training images, each of the plurality of sets of training images including at least three training images including at least two linearly-polarized training images and at least one color image from which a respective set of Stokes parameters s0, s1 and s2 is determinable and storing said three-dimensional shape and spatially-varying reflectance generated by the deep neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.