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:
Dec. 31, 2019

Filed:

Oct. 24, 2017
Applicant:

Beihang University, Beijing, CN;

Inventors:

Xiaowu Chen, Beijing, CN;

Qiang Fu, Beijing, CN;

Bin Zhou, Beijing, CN;

Qinping Zhao, Beijing, CN;

Xiaotian Wang, Beijing, CN;

Sijia Wen, Beijing, CN;

Assignee:

BEIHANG UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06T 17/50 (2006.01); G06F 17/50 (2006.01); G06T 17/10 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06T 17/00 (2013.01); G06F 17/5009 (2013.01); G06T 17/10 (2013.01); G06K 9/00281 (2013.01); G06K 9/00288 (2013.01);
Abstract

The disclosed provides a posture-guided cross-category method and device for combination modeling of cross-category 3D models, the method including: receiving a first posture model inputted by a user; calculating similarities between q first regions of the first posture model and q second regions of each of second posture models in a preset model database, respectively; where the model database includes a plurality of models partitioned into model components, and second posture models corresponding to the models; where the q first regions correspond to the q second regions one on one, where q is an integer greater than or equal to 2; selecting a corresponding plurality of model components of the q second regions of the second posture model according to the similarities; and combining the selected plurality of model components to generate a 3D model. The embodiment of the present application can combine cross-category models with large structural differences.


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