AirNeRF: 3D Reconstruction of Human with Drone and NeRF for Future Communication Systems
July 15, 2024 Β· Declared Dead Β· π 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
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Authors
Alexey Kotcov, Maria Dronova, Vladislav Cheremnykh, Sausar Karaf, Dzmitry Tsetserukou
arXiv ID
2407.10865
Category
cs.RO: Robotics
Citations
5
Venue
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
Last Checked
4 months ago
Abstract
In the rapidly evolving landscape of digital content creation, the demand for fast, convenient, and autonomous methods of crafting detailed 3D reconstructions of humans has grown significantly. Addressing this pressing need, our AirNeRF system presents an innovative pathway to the creation of a realistic 3D human avatar. Our approach leverages Neural Radiance Fields (NeRF) with an automated drone-based video capturing method. The acquired data provides a swift and precise way to create high-quality human body reconstructions following several stages of our system. The rigged mesh derived from our system proves to be an excellent foundation for free-view synthesis of dynamic humans, particularly well-suited for the immersive experiences within gaming and virtual reality.
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