Spatio-temporal image reconstruction using sparse regression and secondary information
US8379947B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 28, 2010 |
| Grant date | Feb 19, 2013 |
| Priority date | — |
| Expiry date | Aug 13, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/424
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A spatio-temporal image of an object is reconstructed based on captured data characterizing the object. The spatio-temporal image comprises a plurality of spatial images in respective time intervals, and at least a given one of the spatial images in one of the time intervals is reconstructed using not only captured data from a frame associated with that time interval but also captured data associated with one or more additional frames associated with other time intervals. The spatio-temporal image may be reconstructed by iteratively obtaining a solution to a minimization or maximization problem in a sparse domain and transforming the solution to an image domain. The transformation between the sparse domain and the image domain may utilize a spatio-temporal transformation implemented using a plurality of basis functions, one or more of which may be determined at least in part based on secondary information associated with the imaged object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.