Convergence of Internet, Broadcasting and Communication
A Case Study on AI-Driven <DEEPMOTION> Motion Capture Technology
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- 발행기관
- 국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
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- 간행물
- International Journal of Internet, Broadcasting and Communication 바로가기
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- 통권
- Vol.16 No.2 (2024.05)바로가기
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- 페이지
- pp.87-92
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A452291
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- The rapid development of artificial intelligence technology in recent years is evident, from the emergence of ChatGPT to innovations like Midjourney, Stable Diffution, and the upcoming SORA text-to-video technology by OPENai. Animation capture technology, driven by the AI technology trend, is undergoing significant advancements, accelerating the progress of the animation industry. Through an analysis of the current application of DEEPMOTION, this paper explores the development direction of AI motion capture technology, analyzes issues such as errors in multi-person object motion capture, and examines the vast prospects. With the continuous advancement of AI technology, the ability to recognize and track complex movements and expressions faster and more accurately, reduce human errors, enhance processing speed and efficiency. This advancement lowers technological barriers and accelerates the fusion of virtual and real worlds.
목차
Abstract
1. Introduction
1.1 Overview of Development
1.2 The Outlook of AI Technology in Motion Capture
2. Research purposes
2.1 Enhancing the precision and efficiency of motion capture
2.2 Reducing the cost and technical barriers of motion capture technology
2.3 Promoting the development of human-computer interaction technology
3. Research Methods
3.1 Experiment Design and Implementation
3.2 Experiment Design and Implementation
3.3 Model Training
4. Results and Analysis
4.1 Process Presentation of Motion Capture Results
4.2 Application Effect Analysis of Motion Capture under AI Technology in 3D Scenes Compared toTraditional Methods
4.3 Current technical problems
5. Advantages of Artificial Intelligence in Motion Capture
6. Conclusion
References
키워드
AI Motion Capture 3D Animation Human-like Character Animation DEEPMOTION저자
간행물 정보
발행기관
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- 발행기관명
- 국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
- 설립연도
- 2000
- 분야
- 공학>전자/정보통신공학
- 소개
- 인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.
간행물
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- 간행물명
- International Journal of Internet, Broadcasting and Communication
- 간기
- 계간
- pISSN
- 2288-4920
- eISSN
- 2288-4939
- 수록기간
- 2009~2025
- 십진분류
- KDC 326 DDC 380
이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.16 No.2
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