Invention Application
- Patent Title: METHOD AND APPARATUS FOR GENERATING LEARNING DATA REQUIRED TO LEARN ANIMATION CHARACTERS BASED ON DEEP LEARNING
-
Application No.: US16696354Application Date: 2019-11-26
-
Publication No.: US20210103721A1Publication Date: 2021-04-08
- Inventor: Dong Hyuck IM , Jung Hyun KIM , Hye Mi KIM , Jee Hyun PARK , Yong Seok SEO , Won Young YOO
- Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Applicant Address: KR Daejeon
- Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee Address: KR Daejeon
- Priority: KR10-2019-0124592 20191008
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06K9/20 ; G06K9/42

Abstract:
Disclosed are a learning data generation method and apparatus needed to learn animation characters on the basis of deep learning. The learning data generation method needed to learn animation characters on the basis of deep learning may include collecting various images from an external source using wired/wireless communication, acquiring character images from the collected images using a character detection module, clustering the acquired character images, selecting learning data from among the clustered images, and inputting the selected learning data to an artificial neural network for character recognition.
Public/Granted literature
Information query