activity
20182024
most citedLDSO: Direct Sparse Odometry with Loop Closure

17 citations · 36 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2024★ 1 cited

RKHS-BA: A Robust Correspondence-Free Multi-View Registration Framework with Semantic Point Clouds

Ray Zhang, Jingwei Song, Xiang Gao +5

This work reports a novel multi-frame Bundle Adjustment (BA) framework called RKHS-BA. It uses continuous landmark representations that encode RGB-D/LiDAR and semantic observations…

cs.RO2023★ 1 cited

Colmap-PCD: An Open-source Tool for Fine Image-to-point cloud Registration

Chunge Bai, Ruijie Fu, Xiang Gao

State-of-the-art techniques for monocular camera reconstruction predominantly rely on the Structure from Motion (SfM) pipeline. However, such methods often yield reconstruction out…

cs.CV2023★ 1 cited

Incremental Rotation Averaging Revisited

Xiang Gao, Hainan Cui, Yangdong Liu +1

In order to further advance the accuracy and robustness of the incremental parameter estimation-based rotation averaging methods, in this paper, a new member of the Incremental Rot…

cs.CV2019

Visual Localization Using Sparse Semantic 3D Map

Tianxin Shi, Shuhan Shen, Xiang Gao +1

Accurate and robust visual localization under a wide range of viewing condition variations including season and illumination changes, as well as weather and day-night variations, i…

cs.CV2019★ 1 cited

Complete Scene Reconstruction by Merging Images and Laser Scans

Xiang Gao, Shuhan Shen, Lingjie Zhu +3

Image based modeling and laser scanning are two commonly used approaches in large-scale architectural scene reconstruction nowadays. In order to generate a complete scene reconstru…

cs.CV2018★ 17 cited

LDSO: Direct Sparse Odometry with Loop Closure

Xiang Gao, Rui Wang, Nikolaus Demmel +1

In this paper we present an extension of Direct Sparse Odometry (DSO) to a monocular visual SLAM system with loop closure detection and pose-graph optimization (LDSO). As a direct…

cs.CV2018★ 15 cited

CSfM: Community-based Structure from Motion

Hainan Cui, Shuhan Shen, Xiang Gao +1

Structure-from-Motion approaches could be broadly divided into two classes: incremental and global. While incremental manner is robust to outliers, it suffers from error accumulati…