Abstract: This study introduces a novel framework, G3Reg, for fast and robust global registration of LiDAR point clouds. In contrast to conventional complex keypoints and descriptors, we extract ...
Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...
The FireANTs library is a lightweight, general-purpose registration package for Riemannian diffeomorphic registration on GPUs. It is designed to be easy to use, fast, accurate, and extensible. The ...
In two weeks, the 2026 Florida Python Challenge™ kicks off! Registered participants have the opportunity to win a share of $25,000 in prizes while removing invasive Burmese pythons from the Everglades ...
I’m excited to announce that the annual Florida Python Challenge™ is back for 2026! Kicking off on Friday, July 10 at 12:01 a.m., and running until Sunday, July 19 at 5 p.m., registered participants ...
Abstract: This work presents a new completion method that specifically designed for low-overlapping partial point cloud registration. Based on the assumption that the candidate partial point clouds to ...
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