Presentation
Spatio‑Temporal 3D Gaussian Splatting Alignment via Robust Features and Randomized Sampling
SessionPosters
DescriptionThis study proposes a novel method for aligning 3DGS data by leveraging its unique characteristics. Our approach uses a sampling and cleaning process to efficiently extract key points, enabling high-accuracy and fast registration without GPU. Experiments show our method outperforms existing techniques in speed and accuracy, even on low-end hardware.
