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:
Feb. 11, 2014

Filed:

Jul. 07, 2010
Applicants:

Wen-hung Ting, Guiren Township, Tainan County, TW;

Chen-lan Yen, Tainan, TW;

Wen-liang Chi, Kouhu Township, Yunlin County, TW;

Duan-li Liao, Taichung, TW;

Inventors:

Wen-Hung Ting, Guiren Township, Tainan County, TW;

Chen-Lan Yen, Tainan, TW;

Wen-Liang Chi, Kouhu Township, Yunlin County, TW;

Duan-Li Liao, Taichung, TW;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 13/00 (2011.01); G06T 1/00 (2006.01); G06F 17/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A facial animation production method for producing 3-dimensional (3D) facial animation data in response to input video data includes the following steps. First, data positioning and character sorting processes are performed on the input video data to acquire first-layer character data, for indicating multiple first-layer character points, and first-layer model data. Next, first-layer model outline data and first-layer character outline data are respectively obtained according to the first-layer model data and the first-layer character data. Then, the first-layer character outline data is compared with the first-layer model outline data to judge whether a judgment condition is satisfied. If not, output character data are produced according to the first-layer character data, and fundamental facial-mesh transformation data are thus produced. Thereafter, the 3D facial animation data are displayed according to the fundamental facial-mesh transformation data.


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