15 citations · 30 across the 8 of their papers we have counts for
8 papers
Shape Anchor Guided Holistic Indoor Scene Understanding
Mingyue Dong, Linxi Huan, Hanjiang Xiong +2
This paper proposes a shape anchor guided learning strategy (AncLearn) for robust holistic indoor scene understanding. We observe that the search space constructed by current metho…
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…
Dense Semantic 3D Map Based Long-Term Visual Localization with Hybrid Features
Tianxin Shi, Hainan Cui, Zhuo Song +1
Visual localization plays an important role in many applications. However, due to the large appearance variations such as season and illumination changes, as well as weather and da…
Graph-Based Parallel Large Scale Structure from Motion
Yu Chen, Shuhan Shen, Yisong Chen +1
While Structure from Motion (SfM) achieves great success in 3D reconstruction, it still meets challenges on large scale scenes. In this work, large scale SfM is deemed as a graph p…
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…
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…
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…
Dynamic Parallel and Distributed Graph Cuts
Miao Yu, Shuhan Shen, Zhanyi Hu
Graph-cuts are widely used in computer vision. In order to speed up the optimization process and improve the scalability for large graphs, Strandmark and Kahl introduced a splittin…