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:
Jul. 28, 2020

Filed:

Aug. 17, 2018
Applicant:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Inventors:

Byung Ok Han, Daejeon, KR;

Jae Hwan Kim, Daejeon, KR;

Ho Won Kim, Seoul, KR;

Ji Hyung Lee, Daejeon, KR;

Yu Gu Jung, Daejeon, KR;

Chang Joon Park, Daejeon, KR;

Gil Haeng Lee, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06T 7/73 (2017.01); G06K 9/46 (2006.01); G06T 7/194 (2017.01); G06T 7/55 (2017.01); H04N 9/04 (2006.01); H04N 5/225 (2006.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); G06K 9/46 (2013.01); G06T 7/194 (2017.01); G06T 7/55 (2017.01); G06T 7/73 (2017.01); H04N 5/2258 (2013.01); H04N 9/045 (2013.01); G06T 2200/08 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Provided is a method of reconstructing a three-dimensional (3D) model of an object. The method includes sequentially performing, by a camera module, first and second object scanning processes of scanning the same object, reconstructing, by a processor module, a 3D object model, based on a first object image obtained through the first object scanning process, performing pose learning on an object to generate learning data, based on data obtained through a process of reconstructing the 3D object model based on the first object image, and reconstructing, by the processor module, a final 3D object model, based on a second object image obtained through the second object scanning process and the learning data.


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