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:
Sep. 10, 2024

Filed:

Jun. 07, 2021
Applicant:

Canon Kabushiki Kaisha, Tokyo, JP;

Inventors:

Fukashi Yamazaki, Kanagawa, JP;

Daisuke Furukawa, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/174 (2017.01); G06F 18/2431 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06T 7/11 (2017.01); G06T 7/149 (2017.01); G06T 7/162 (2017.01); G06T 7/187 (2017.01); G06T 7/194 (2017.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/44 (2022.01); G06V 10/762 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/174 (2017.01); G06F 18/2431 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06T 7/149 (2017.01); G06T 7/162 (2017.01); G06T 7/187 (2017.01); G06T 7/194 (2017.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/454 (2022.01); G06V 10/7635 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G16H 30/40 (2018.01); G06T 2200/04 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20116 (2013.01); G06T 2207/20161 (2013.01); G06T 2207/30056 (2013.01); G06T 2207/30084 (2013.01); G06V 2201/031 (2022.01);
Abstract

An image processing apparatus according to the present invention includes a first classification unit configured to classify a plurality of pixels in two-dimensional image data constituting first three-dimensional image data including an object into a first class group by using a trained classifier, and a second classification unit configured to classify a plurality of pixels in second three-dimensional image data including the object into a second class group based on a result of classification by the first classification unit, the second class group including at least one class of the first class group. According to the image processing apparatus according to the present invention, a user's burden of giving pixel information can be reduced and a region can be extracted with high accuracy.


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