Patent · US Active

Deep geometric model fitting

US11393160B2 · kind B2 · utility

1Cited by

4References

23Claims

0Family size

Assignee

Intel Corporation · US

Inventors

Rene Ranftl · Munich, DE
Vladlen Koltun · Santa Clara, US

Key dates

Filing date	Mar 23, 2018
Grant date	Jul 19, 2022
Priority date	—
Expiry date	Apr 16, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30248
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems, apparatuses and methods may provide for technology that generates, by a first neural network, an initial set of model weights based on input data and iteratively generates, by a second neural network, an updated set of model weights based on residual data associated with the initial set of model weights and the input data. Additionally, the technology may output a geometric model of the input data based on the updated set of model weights. In one example, the first neural network and the second neural network reduce the dependence of the geometric model on the number of data points in the input data.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.