Invention Grant
- Patent Title: Makeup identification using deep learning
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Application No.: US15994837Application Date: 2018-05-31
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Publication No.: US10755447B2Publication Date: 2020-08-25
- Inventor: Niyati Himanshu Chhaya , Nitin Rathor , Lilly Kumari , Vineet Vinayak Pasupulety , Rutuj Jugade
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: SBMC
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06T7/00 ; G06N3/02 ; G06K9/00

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.
Public/Granted literature
- US20190325616A1 Makeup Identification Using Deep Learning Public/Granted day:2019-10-24
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |