Siwen Quan's Homepage

Siwen Quan (权思文)

Ph.D. CandidateSchool of AutomationHuazhong University of Science and Technology (HUST)Wuhan, ChinaE-mail: siwenquan@hust.edu.cnGoogle Scholar

About Me

I am currently a 4th-year Ph.D. student at School of Automation, Huazhong University of Science and Technology (华中科技大学). My supervisor is Prof. Jie Ma. My research interests are mainly in 3D computer vision, particularly including local shape detection and binary feature description, feature matching, 3D point cloud registration, 3D object recognition, and relevant tasks based on geometric feature matching.

News

2018.3-Paper Representing local shape geometry from multi-view silhouette perspective: A distinctive and robust binary 3D feature is accepted to Signal Processing: Image Communication.
2018.3-Paper Local voxelized structure for 3D binary feature representation and robust registration of point clouds from low-cost sensors is accepted to Information Sciences.
2017.9-Paper Local voxelized structure for 3D local shape description: A binary representation is accepted to IIEEE Conf. on Image Processing 2017.

Selected Publication

Journal Articles

Representing local shape geometry from multi-view silhouette perspective: A distinctive and robust binary 3D feature

Siwen Quan, Jie Ma, Tao Ma, Fangyu Hu, Bin FangSignal Processing: Image Communication 2018PDF

Local voxelized structure for 3D binary feature representation and robust registration of point clouds from low-cost sensors
Siwen Quan, Jie Ma, Fangyu Hu, Bin Fang, Tao MaInformation Sciences 2018PDF

Conference Articles

Local voxelized structure for 3D local shape description: A binary representation
Siwen Quan, Jie Ma, Fangyu Hu, Bin Fang, Tao MaInt. Conf. on Image Processing 2017PDF

Fast motion deblurring using gyroscopes and strong edge prediction
Jiacai Zhao, Jie Ma, Bin Fang, Siwen Quan, Fangyu HuInt. Conf. on Pattern Recognition 2016PDF

Reviewer of Technical Papers

Journals

Information Sciences
Robotics and Autonomous Systems
International Journal of Remote Sensing

Conferences

3DV 2017

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