Title:
METHOD AND DEVICE FOR DETECTING FACIAL WRINKLES USING DEEP LEARNING-BASED WRINKLE DETECTION MODEL TRAINED ACCORDING TO SEMI-AUTOMATIC LABELING
Document Type and Number:
WIPO Patent Application WO/2024/014853
Kind Code:
A1
Abstract:
Disclosed are a method and device for detecting facial wrinkles using a deep learning-based wrinkle detection model trained according to semi-automatic labeling. The method for detecting facial wrinkles using a deep learning-based wrinkle detection model trained according to semi-automatic labeling comprises the steps of: generating labeling data; using the generated labeling data to train a wrinkle detection model using supervised learning; inputting a user's face image to the wrinkle detection model trained using supervised learning; and obtaining wrinkle detection data corresponding to the face image on the basis of the output of the wrinkle detection model. Therefore, wrinkles on the face can be detected by quickly and accurately obtaining labeling data by generating the labeling data semi-automatically.
Inventors:
KIM SEMIN (KR)
YOON HUISU (KR)
LEE JONG HA (KR)
YOO SANGWOOK (KR)
CHOE YONGJOON (KR)
YOON HUISU (KR)
LEE JONG HA (KR)
YOO SANGWOOK (KR)
CHOE YONGJOON (KR)
Application Number:
PCT/KR2023/009902
Publication Date:
January 18, 2024
Filing Date:
July 12, 2023
Export Citation:
Assignee:
LULULAB INC (KR)
International Classes:
G06V40/16; A61B5/00; G16H30/20
Foreign References:
| CN110287930A | 2019-09-27 | |||
| CN109685801A | 2019-04-26 | |||
| JP2021532915A | 2021-12-02 | |||
| CN109961426A | 2019-07-02 | |||
| CN113989290A | 2022-01-28 | |||
| KR102495889B1 | 2023-02-06 |
Attorney, Agent or Firm:
SEO, Pyeong Gang (KR)
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