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:
Feb. 02, 2021

Filed:

Sep. 18, 2019
Applicant:

Fyusion, Inc., San Francisco, CA (US);

Inventors:

Abhishek Kar, Berkeley, CA (US);

Rodrigo Ortiz Cayon, San Francisco, CA (US);

Ben Mildenhall, Berkeley, CA (US);

Stefan Johannes Josef Holzer, San Mateo, CA (US);

Radu Bogdan Rusu, San Francisco, CA (US);

Assignee:

Fyusion, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/50 (2011.01); H04N 13/111 (2018.01); G06T 7/557 (2017.01); H04N 13/271 (2018.01); G06T 7/579 (2017.01); G06T 7/70 (2017.01); G06T 7/514 (2017.01); G06T 15/20 (2011.01); G06T 7/00 (2017.01); G06T 15/00 (2011.01); G06T 7/50 (2017.01); H04N 5/232 (2006.01); G06T 15/08 (2011.01); H04N 13/00 (2018.01);
U.S. Cl.
CPC ...
H04N 13/111 (2018.05); G06T 7/0002 (2013.01); G06T 7/50 (2017.01); G06T 7/514 (2017.01); G06T 7/557 (2017.01); G06T 7/579 (2017.01); G06T 7/70 (2017.01); G06T 15/005 (2013.01); G06T 15/08 (2013.01); G06T 15/20 (2013.01); G06T 15/205 (2013.01); G06T 15/503 (2013.01); H04N 5/23222 (2013.01); H04N 5/232945 (2018.08); H04N 13/271 (2018.05); G06T 2207/10052 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30244 (2013.01); G06T 2215/16 (2013.01); H04N 2013/0081 (2013.01);
Abstract

An estimated camera pose may be determined for each of a plurality of single plane images of a designated three-dimensional scene. The sampling density of the single plane images may be below the Nyquist rate. However, the sampling density of the single plane images may be sufficiently high such that the single plane images is sufficiently high such that they may be promoted to multiplane images and used to generate novel viewpoints in a light field reconstruction framework. Scene depth information identifying for each of a respective plurality of pixels in the single plane image a respective depth value may be determined for each single plane image. A respective multiplane image including a respective plurality of depth planes may be determined for each single plane image. Each of the depth planes may include a respective plurality of pixels from the respective single plane image.


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