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:
Aug. 25, 2020

Filed:

May. 31, 2018
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Niyati Himanshu Chhaya, Hyderabad, IN;

Nitin Rathor, Kapurthala, IN;

Lilly Kumari, Patna, IN;

Vineet Vinayak Pasupulety, Bangalore, IN;

Rutuj Jugade, Bangalore, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06T 7/00 (2017.01); G06N 3/02 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06T 11/001 (2013.01); G06K 9/00261 (2013.01); G06K 9/00281 (2013.01); G06N 3/02 (2013.01); G06T 7/97 (2017.01);
Abstract

Makeup identification using deep learning in a digital medium environment is described. Initially, a user input is received to provide a digital image depicting a face which has a desired makeup characteristic. A discriminative neural network is trained to identify and describe makeup characteristics of the input digital image based on data describing differences in visual characteristics between pairs of images, which include a first image depicting a face with makeup applied and a second image depicting a face without makeup applied. The makeup characteristics identified by the discriminative neural network are displayed for selection to search for similar digital images that have the selected makeup characteristic. Once retrieved, the similar digital images can be displayed along with the input digital image having the desired makeup characteristic.


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