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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.

Patent No.:

US 11436858 B1

PDFFull Text
Date of Patent:
Sep. 06, 2022

Filed:

Jan. 31, 2020

Characterizing reflectance, illuminance, and sensor response for electromagnetic radiation

Applicant:

Ringo Ai, Inc., Santa Cruz, CA (US);

Inventors:

Matthew D. Weaver, Aptos, CA (US);

Jay Hurley, Aptos, CA (US);

Jeffrey Saake, San Francisco, CA (US);

Assignee:

RINGO AI, INC., Santa Cruz, CA (US);

Attorney:

Perkins Coie LLP

Primary Examiner:

Joel W Fosselman

Int. Cl.
CPC ...
H04N 5/225 (2006.01); G06V 40/13 (2022.01); G06T 7/90 (2017.01); H04N 9/04 (2006.01); G06K 9/00 (2022.01); H04N 5/232 (2006.01); G03B 43/00 (2021.01); G03B 15/05 (2021.01); H04N 5/341 (2011.01); H05B 45/20 (2020.01); G01J 3/28 (2006.01); G06V 10/56 (2022.01); G06V 10/141 (2022.01); G06V 30/194 (2022.01); G06V 40/12 (2022.01);
U.S. Cl.
CPC ...
G06V 40/1318 (2022.01); G01J 3/28 (2013.01); G03B 15/05 (2013.01); G03B 43/00 (2013.01); G06K 9/0053 (2013.01); G06T 7/90 (2017.01); G06V 10/141 (2022.01); G06V 10/56 (2022.01); G06V 30/194 (2022.01); H04N 5/2256 (2013.01); H04N 5/232 (2013.01); H04N 5/341 (2013.01); H04N 9/045 (2013.01); H04N 9/04521 (2018.08); H05B 45/20 (2020.01); G03B 2215/0503 (2013.01); G03B 2215/0567 (2013.01); G06V 40/1341 (2022.01);
Abstract

Introduced here are computer programs and associated computer-implemented techniques for determining reflectance of an image on a per-pixel basis. More specifically, a characterization module can initially acquire a first data set generated by a multi-channel light source and a second data set generated by a multi-channel image sensor. The first data set may specify the illuminance of each channel of the multi-channel light source (which may be able to produce visible light and/or non-visible light), while the second data set may specify the response of each sensor channel of the multi-channel image sensor (which is configured to capture an image in conjunction with the light). Thus, the characterization module may determine reflectance based on illuminance and sensor response. The characterization module may also be configured to determine illuminance based on reflectance and sensor response, or determine sensor response based on illuminance and reflectance.

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