Neural Surfel Reconstruction: Addressing Loop Closure Challenges in Large-Scale 3D Neural Scene Mapping
Published in Sensors (Basel, Switzerland), 2024
This paper introduces a novel neural surfel-based method for large-scale 3D scene reconstruction, addressing challenges in loop closure and bundle adjustment. By integrating neural descriptors with surfels and optimizing surfel associations, the approach achieves improved reconstruction accuracy and significantly reduces file sizes compared to traditional methods.
Recommended citation: Cui J, Zhang J, Kneip L, Schwertfeger S. Neural Surfel Reconstruction: Addressing Loop Closure Challenges in Large-Scale 3D Neural Scene Mapping. Sensors (Basel). 2024 Oct 28;24(21):6919. doi: 10.3390/s24216919. PMID: 39517816; PMCID: PMC11548607.
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