Invention Grant
- Patent Title: Hand key point recognition model training method, hand key point recognition method and device
-
Application No.: US17000844Application Date: 2020-08-24
-
Publication No.: US11989350B2Publication Date: 2024-05-21
- Inventor: Yang Yi , Shijie Zhao , Feng Li , Xiaoxiang Zuo
- Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
- Applicant Address: CN Shenzhen
- Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
- Current Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
- Current Assignee Address: CN Shenzhen
- Agency: ANOVA LAW GROUP, PLLC
- Priority: CN 1810752953.1 2018.07.10
- Main IPC: G06F3/01
- IPC: G06F3/01 ; G06F18/214 ; G06N3/08 ; G06T7/143 ; G06T7/174 ; G06V10/44 ; G06V10/764 ; G06V10/82 ; G06V40/10 ; G06V40/20

Abstract:
A hand key-point recognition model training method is provided for a model training device. The method includes: converting a sample virtual image into an emulation image through a Cycle-GAN model, the sample virtual image being an image generated through three-dimensional modeling, and the sample virtual image including key-point coordinates corresponding to hand key-points, and the emulation image being used for emulating an image acquired in a real scenario; extracting a hand image in the emulation image; and training a hand key-point recognition model according to the hand image in the emulation image and the key-point coordinates, the hand key-point recognition model being used for outputting hand key-point coordinates of a hand in a real image according to the inputted real image.
Information query