4 papers · 1 filter
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality
Joey Wilson, Marcelino Almeida, Sachit Mahajan +6
In this paper, we present a novel algorithm for quantifying uncertainty and information gained within 3D Gaussian Splatting (3D-GS) through P-Optimality. While 3D-GS has proven to…
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning
Ray Zhang, Zheming Zhou, Min Sun +5
This paper introduces a robust unsupervised SE(3) point cloud registration method that operates without requiring point correspondences. The method frames point clouds as functions…
CSCPR: Cross-Source-Context Indoor RGB-D Place Recognition
Jing Liang, Zhuo Deng, Zheming Zhou +5
We extend our previous work, PoCo, and present a new algorithm, Cross-Source-Context Place Recognition (CSCPR), for RGB-D indoor place recognition that integrates global retrieval…
PoCo: Point Context Cluster for RGBD Indoor Place Recognition
Jing Liang, Zhuo Deng, Zheming Zhou +5
We present a novel end-to-end algorithm (PoCo) for the indoor RGB-D place recognition task, aimed at identifying the most likely match for a given query frame within a reference da…