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:
Oct. 17, 2017

Filed:

Aug. 17, 2012
Applicants:

Tao Luo, Beijing, CN;

Wenfei Jiang, Beijing, CN;

Jiang Tian, Beijing, CN;

Inventors:

Tao Luo, Beijing, CN;

Wenfei Jiang, Beijing, CN;

Jiang Tian, Beijing, CN;

Assignee:

THOMSON LICENSING, Issy les Moulineaux, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 17/20 (2006.01); G06K 9/46 (2006.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 17/205 (2013.01); G06K 9/4638 (2013.01); G06T 5/002 (2013.01); G06T 17/20 (2013.01); G06T 2207/20172 (2013.01); G06T 2210/56 (2013.01);
Abstract

Disclosed are a method and apparatus for processing a 3D model. To preserve fine structures while de-noising a 3D mesh model, the local structural information around a vertex is captured when designing a de-noising filter. In particular, for a current vertex to be processed, a path, for example, a geodesic path, is determined between the current vertex and each neighboring vertex. For each mesh edge along the path, local variations are calculated for the two end vertices of the mesh edge using a covariance matrix, and a geometric variation for the mesh edge is calculated as the difference between the two local variations. Then structural information for the region between the current vertex and a neighboring vertex is calculated as a function of the geometric variations for mesh edges along the path, for example, as the maximum geometric variation along the path. The present principles can also be adjusted to be used in de-noising 3D point-based models.


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