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:
May. 31, 2022

Filed:

Sep. 26, 2019
Applicant:

Shiseido Company, Limited, Tokyo, JP;

Inventors:

Yun Fu, Brookline, MA (US);

Haiyi Mao, Boston, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A45D 44/00 (2006.01); G06T 1/00 (2006.01); G06T 19/20 (2011.01); G06T 17/20 (2006.01); G06T 11/60 (2006.01); G06V 20/20 (2022.01); G06V 40/16 (2022.01); G06V 10/50 (2022.01);
U.S. Cl.
CPC ...
A45D 44/005 (2013.01); G06T 1/0007 (2013.01); G06T 11/60 (2013.01); G06T 17/205 (2013.01); G06T 19/20 (2013.01); G06V 20/20 (2022.01); G06V 40/168 (2022.01); G06V 40/171 (2022.01); G06T 2207/30201 (2013.01); G06V 10/50 (2022.01);
Abstract

The present disclosure provides systems and methods for virtual facial makeup simulation through virtual makeup removal and virtual makeup add-ons, virtual end effects and simulated textures. In one aspect, the present disclosure provides a method for virtually removing facial makeup, the method comprising providing a facial image of a user with makeups being applied thereto, locating facial landmarks from the facial image of the user in one or more regions, decomposing some regions into first channels which are fed to histogram matching to obtain a first image without makeup in that region and transferring other regions into color channels which are fed into histogram matching under different lighting conditions to obtain a second image without makeup in that region, and combining the images to form a resultant image with makeups removed in the facial regions. The disclosure also provides systems and methods for virtually generating output effects on an input image having a face, for creating dynamic texturing to a lip region of a facial image, for a virtual eye makeup add-on that may include multiple layers, a makeup recommendation system based on a trained neural network model, a method for providing a virtual makeup tutorial, a method for fast facial detection and landmark tracking which may also reduce lag associated with fast movement and to reduce shaking from lack of movement, a method of adjusting brightness and of calibrating a color and a method for advanced landmark location and feature detection using a Gaussian mixture model.


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