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:
Aug. 04, 2020

Filed:

Dec. 20, 2018
Applicant:

Honda Motor Co., Ltd., Minato-ku, Tokyo, JP;

Inventors:

Yosuke Sakamoto, Wako, JP;

Umiaki Matsubara, Wako, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06T 5/001 (2013.01); G06K 9/00208 (2013.01); G06K 9/00805 (2013.01); G06K 9/6254 (2013.01); G06K 9/6264 (2013.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G06T 2207/20081 (2013.01);
Abstract

An information processing device, a learning processing method, a learning device and an object recognition device capable of improving learning processing accuracy are provided. An information processing device causes a computer to generate a distortion-corrected equivalent image on the basis of a first captured image including a subject having predetermined distortion generated due to optical operations during imaging, to generate first teacher data in which relevant information about the target object has been added for the equivalent image in which an image region for the target object has been designated, to convert the equivalent image included in the first teacher data into a distorted image having predetermined distortion to generate second teacher data and to generate a learning model which outputs a result obtained by identifying the target object included in the second captured image when the second captured image having predetermined distortion generated therein is input, on the basis of the second teacher data.


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