Earticle

초록

영어

This paper reevaluates Pixar’s Universal Scene Description (USD) as far more than a file format, framing it as a shared data fabric for both VFX and industrial digital-twin workflows. First, we dissect USD’s layered scene graph and non-destructive referencing, showing how these mechanisms replace ad-hoc file exchanges with a single, version-safe collaboration space. Second, controlled benchmarks and blockbuster case studies confirm tangible gains in VFX pipelines: faster artist iteration, cross-department asset sharing without version clashes, and smaller storage footprints even as scene scale grows. Third, the same composition model adapts seamlessly to NVIDIA Omniverse, where engineers stream live sensor data, run GPU-accelerated simulations, and update factory- or city-scale twins in near real time— while still using familiar film-production tools. Collectively, these results position USD as a unifying layer that bridges entertainment production and industrial engineering. The study offers practitioners a cloud-ready adoption roadmap and gives researchers a reproducible benchmark for large-scale 3D data interchange, opening new avenues in graphics, HCI, and digital-twin research.

목차

Abstract
1. INTRODUCTION
1.1 Purpose, Necessity and Differentiation of Research
1.2The USD and its Development
2. Experimental design and methodologies
2.1Experiment purpose and scope
2.2 Evaluation metrics and methodology
3. Key Benefit of USD Experiment Results and Analysis
3.1 Process Simplification
3.2 Storage efficiency
3.3 Scene resolving
3.4 Digital Twin Conformance
3.5 Real-time collaboration efficiency
4. Converging NVIDIA Omniverse and USD's Digital Twins
4.1 Linking NVIDIA Omniverse and USD
4.2 Digital Twin Implementation Case Studies
4.3 Omniverse and USD-based Digital Twin Performance Analysis
5. Examples of USD applications in real-world commercial works
6. USD Implementation Challenges and Solutions
6.1 Technical limitations and considerations
6.2 Lessons from real-world implementations
7. Conclusion and Outlook
7.1 Summarizing the Industry Impact of the USD
7.2 Comprehensive outlook
REFERENCES

키워드

저자

• Seok-hyun Ahn [ Ph. D Student, Department of Immersive Content Convergence, Graduate School, Kwangwoon University, Seoul, Korea ]
• Seung-hyun Lee [ Professor, Department of Immersive Content Convergence, Graduate School, Kwangwoon University, Seoul, Korea ] Corresponding Author
• Leehwan Hwang [ Professor, Department of Immersive Content Convergence, Graduate School, Kwangwoon University, Seoul, Korea ]
• Soon-chul Kwon [ Professor, Department of Immersive Content Convergence, Graduate School, Kwangwoon University, Seoul, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380