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:
Oct. 06, 2020

Filed:

Oct. 20, 2016
Applicants:

Xin Yuan, Summit, NJ (US);

Hong Jiang, Warren, NJ (US);

Gang Huang, Monroe Township, NJ (US);

Paul A. Wilford, Bernardsville, NJ (US);

Inventors:

Xin Yuan, Summit, NJ (US);

Hong Jiang, Warren, NJ (US);

Gang Huang, Monroe Township, NJ (US);

Paul A. Wilford, Bernardsville, NJ (US);

Assignee:

Nokia of America Corporation, Murray Hill, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 13/20 (2018.01); G06T 7/50 (2017.01); H04N 13/128 (2018.01); H04N 13/254 (2018.01); H04N 5/222 (2006.01); H04N 13/243 (2018.01); H04N 13/271 (2018.01); H04N 5/225 (2006.01); H04N 13/00 (2018.01);
U.S. Cl.
CPC ...
H04N 13/20 (2018.05); G06T 7/50 (2017.01); H04N 5/2226 (2013.01); H04N 5/2254 (2013.01); H04N 5/2258 (2013.01); H04N 13/128 (2018.05); H04N 13/243 (2018.05); H04N 13/254 (2018.05); H04N 13/271 (2018.05); H04N 2013/0081 (2013.01);
Abstract

The present disclosure generally discloses a three-dimensional (3D) image reconstruction capability. The 3D image reconstruction capability may be configured to support reconstruction of a 3D image of a scene. The 3D image reconstruction capability may be configured to support reconstruction of a 3D image of a scene based on lensless compressive image acquisition performed using a lensless compressive camera having a single aperture and a set of multiple sensors. The reconstructed 3D image of a scene may include (1) image data indicative of a set of multiple two-dimensional (2D) images reconstructed based on the set of multiple sensors of the lensless compressive camera (which may be represented as images) and (2) depth information indicative of depths at points or areas of an overlapping portion of the multiple images reconstructed based on the set of multiple sensors of the lensless compressive camera (which may be represented as a depth map).


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