ResearchWork

My personal research work on Peking University, mainly on 3D reconstruction, includes Structure from Motion (SfM), Simultaneous Localization and Mapping (SLAM), semantic reconstruction. I'm also interested in numerical optimization, especially large scale nonlinear optimization, though only at the begin right now. My dream is to build the world with computer vision technologies. If you are interested in my work, just send me an e-mail.

1. Structure from Motion

Incremental SfM

• [ECCV 2018] Progressive Structure from Motion

Global SfM

Hybrid SfM

Hierarchical SfM

Viewing Graph

TODO:

• [CVPR 2008] Skeletal graphs for efficitent structure from motion

• [ICCV 2015] Optimizing the Viewing Graph for Structure-from-Motion Brief Comment: This approach has a strong geometric verification by enforcing loop consistency, while not efficiency and may more suitable for global SfM other than other SfM approaches. Besides, the implementation is trivially.

• [ECCV 2016] Graph-Based Consistent Matching for Structure-from-Motion

• [3DV 2017] GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion

• [3DV 2018] Progressive Large-Scale Structure-from-Motion with Orthogonal MSTs

• [ECCV 2018] View-graph Selection Framework for SfM

Bundle Adjustment

TODO:

• [CVPR 2016] A Consensus-Based Framework for Distributed Bundle Adjustment

• [arxiv 2017] Distributed Bundle Adjustment

• [ICCV 2017] Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus

• [SIAM 2011] Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

2. Simultaneous Localization and Mapping

3. Semantic Reconstruction

4. My Pulications

5. My Open-source Code

• SuperSfM

• Graph Cluster

• XFeatures

• ComputerVisionDatasets

• MyCodeSnippet

• Code Practice