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:
Mar. 23, 2021

Filed:

Oct. 10, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Marco Aurelio Stelmar Netto, Sao Paulo, BR;

Andrea Britto Mattos Lima, Sao Paulo, BR;

Maysa Malfiza Garcia de Macedo, Sao Paulo, BR;

Maciel Zortea, Rio de Janeiro, BR;

Igor Cerqueira Oliveira, Sao Paulo, BR;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/232 (2006.01); G06K 9/62 (2006.01); G06K 9/03 (2006.01); G06T 7/00 (2017.01); G06K 9/00 (2006.01); G05D 1/00 (2006.01); G05D 1/10 (2006.01); B64C 39/02 (2006.01);
U.S. Cl.
CPC ...
H04N 5/23222 (2013.01); G06K 9/00657 (2013.01); G06K 9/036 (2013.01); G06K 9/6215 (2013.01); G06K 9/6256 (2013.01); G06T 7/0012 (2013.01); H04N 5/23299 (2018.08); B64C 39/024 (2013.01); B64C 2201/127 (2013.01); G05D 1/0011 (2013.01); G05D 1/101 (2013.01); G06K 2209/17 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/30188 (2013.01); G06T 2207/30192 (2013.01); H04N 5/23296 (2013.01);
Abstract

A method for improving the performance of a computer vision system includes obtaining input specifying a task to be performed by the computer vision system; obtaining a first digital image; and comparing the first digital image to at least one training image used to train the computer vision system to solve the task. Further steps include, based on the comparing indicating that the first digital image is insufficiently similar to the at least one training image, recommending at least one adjustment to the digital image; obtaining a second digital image in accordance with the adjustment; and performing the task with the computer vision system based on the second digital image obtained in accordance with the adjustment. Adjustments can be based, for example, on image composition and/or weather conditions.


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