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
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