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.
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[ACCV 2014] Divide and Conquer: Efficient Large-Scale Structure from Motion Using Graph Partitioning
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[arXiv 2017] Parallel Structure from Motion from Local Increment to Global Averaging
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[CVPR 2018] Very Large-scale Global SfM by Distributed Motion Averaging
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[ICCV 2003] video google: a text retrieval approach to object matching in videos
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[CVPR 2008] Skeletal graphs for efficitent structure from motion
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[ECCV 2010] Improving the fisher kernel for large-scale image classification
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[IJCV 2013] Image Classification with the Fisher vector: theory and practice
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[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.
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[ECCV 2016] Graph-Based Consistent Matching for Structure-from-Motion
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[3DV 2017] GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion
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[3DV 2018] Progressive Large-Scale Structure-from-Motion with Orthogonal MSTs
TODO:
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[CVPR 2016] A Consensus-Based Framework for Distributed Bundle Adjustment
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[ICCV 2017] Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus
- [PRCV 2018] Yu Chen, Yao Wang, Youkun Wu, Peng Lu, Yisong Chen and Guoping Wang. Large-Scale Structure from Motion with Semantic Constraints of Aerial Images