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:
Mar. 12, 2024

Filed:

Sep. 22, 2020
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Gernot Riegler, Munich, DE;

Vladlen Koltun, Santa Clara, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/00 (2011.01); G06F 9/38 (2018.01); G06N 3/045 (2023.01); G06T 3/00 (2006.01); G06T 7/73 (2017.01); G06T 19/20 (2011.01);
U.S. Cl.
CPC ...
G06T 19/20 (2013.01); G06F 9/3877 (2013.01); G06N 3/045 (2023.01); G06T 3/0093 (2013.01); G06T 7/74 (2017.01);
Abstract

Systems, apparatuses and methods may provide for technology that estimates poses of a plurality of input images, reconstructs a proxy three-dimensional (3D) geometry based on the estimated poses and the plurality of input images, detects a user selection of a virtual viewpoint, encodes, via a first neural network, the plurality of input images with feature maps, warps the feature maps of the encoded plurality of input images based on the virtual viewpoint and the proxy 3D geometry, and blends, via a second neural network, the warped feature maps into a single image, wherein the first neural network is deep convolutional network and the second neural network is a recurrent convolutional network.


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