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:
Jun. 12, 2018

Filed:

Jul. 31, 2015
Applicant:

Elwha Llc, Bellevue, WA (US);

Inventors:

Jesse R. Cheatham, III, Seattle, WA (US);

Roderick A. Hyde, Redmond, WA (US);

Muriel Y. Ishikawa, Livermore, CA (US);

Jordin T. Kare, San Jose, CA (US);

Craig J. Mundie, Seattle, WA (US);

Nathan P. Myhrvold, Bellevue, WA (US);

Robert C. Petroski, Seattle, WA (US);

Eric D. Rudder, Mercer Island, WA (US);

Desney S. Tan, Kirkland, WA (US);

Clarence T. Tegreene, Mercer Island, WA (US);

Charles Whitmer, North Bend, WA (US);

Andrew Wilson, Seattle, WA (US);

Jeannette M. Wing, Bellevue, WA (US);

Lowell L. Wood, Jr., Bellevue, WA (US);

Victoria Y. H. Wood, Livermore, CA (US);

Assignee:

ELWHA LLC, Bellevue, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 15/00 (2006.01); G01S 15/62 (2006.01); G01S 15/02 (2006.01); G01S 15/89 (2006.01); G01S 15/52 (2006.01); G01S 13/522 (2006.01); G01S 13/86 (2006.01); G01S 13/89 (2006.01);
U.S. Cl.
CPC ...
G01S 15/62 (2013.01); G01S 15/025 (2013.01); G01S 15/52 (2013.01); G01S 15/89 (2013.01); G01S 13/522 (2013.01); G01S 13/862 (2013.01); G01S 13/89 (2013.01);
Abstract

The present disclosure provides systems and methods for using compressed sensing for imaging an object for use in combination with an entertainment or infotainment device. For example, the system may utilize a few—(e.g., 1, 2, 3 . . . ) pixel imaging sensor to obtain coarse image data from each of a plurality of subregions of a region of interest. Compressed sensing techniques may then be used to estimate a higher resolution image of the region of interest using the coarse image data from the plurality of subregions.


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