METHOD AND DEVICE FOR DETECTING FACIAL WRINKLES USING DEEP LEARNING-BASED WRINKLE DETECTION MODEL TRAINED ACCORDING TO SEMI-AUTOMATIC LABELING
개요
발명자
Semin KIM; Huisu YOON; Jong Ha LEE; Sangwook YOO; Yongjoon CHOE
IPC 분류
CPC 분류
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.
원문 (중국어)
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.