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. 23, 2018

Filed:

Jul. 06, 2016
Applicant:

Duke University, Durham, NC (US);

Inventors:

David Brady, Durham, NC (US);

Tom Driscoll, San Diego, CA (US);

John Hunt, Knoxville, TN (US);

Daniel Marks, Durham, NC (US);

Alexander Mrozack, Durham, NC (US);

Matthew Reynolds, Durham, NC (US);

David R. Smith, Durham, NC (US);

Assignee:

Duke University, Durham, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/00 (2011.01); H01Q 15/00 (2006.01); G06T 11/00 (2006.01); G01S 17/89 (2006.01); G01H 17/00 (2006.01); G01S 13/88 (2006.01); G01S 13/89 (2006.01); H01Q 3/24 (2006.01); H01Q 21/06 (2006.01); G01S 15/89 (2006.01); G06K 9/20 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06T 11/003 (2013.01); G01H 17/00 (2013.01); G01S 13/887 (2013.01); G01S 13/89 (2013.01); G01S 15/89 (2013.01); G01S 17/89 (2013.01); G06K 9/2036 (2013.01); G06K 9/46 (2013.01); H01Q 3/24 (2013.01); H01Q 15/0086 (2013.01); H01Q 21/061 (2013.01); G06K 2009/4666 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Multi-sensor compressive imaging systems can include an imaging component (such an an RF, microwave, or mmW metamaterial surface antenna) and an auxiliary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.


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