The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 20, 2025

Filed:

Oct. 06, 2023
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Rene Ranftl, Munich, DE;

Vladlen Koltun, Santa Clara, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/045 (2023.01); G06T 1/20 (2006.01); G06T 3/08 (2024.01); G06T 7/20 (2017.01); G06T 7/593 (2017.01); G06T 15/10 (2011.01); G06T 17/10 (2006.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06T 15/10 (2013.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06T 1/20 (2013.01); G06T 3/08 (2024.01); G06T 7/20 (2013.01); G06T 7/593 (2017.01); G06T 17/10 (2013.01); G06N 3/084 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30248 (2013.01);
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.


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