News:

  • [2018.04] Our paper "Automatic 3D Reconstruction of Electrical Substation Scene from LiDAR Point Cloud" is accepted to ISPRS Journal of Photogrammetry and Remote Sensing.
  • [2018.03] Our paper "Bas-Relief Modeling from Normal Layers" is accepted to IEEE Transactions on Visualization and Computer Graphics.
  • [2018.02] Our paper "Cost-effective Printing of 3D Objects with Self-supporting Property" is accepted to The Visual Computer.
  • [2018.01] Honghua joined us. Welcome!
  • [2018.01] Our paper "Centerline Extraction of Vasculature Mesh" is accepted to IEEE Access.
  • [2018.01] Our paper "Learning-based 3D Surface Optimization from Medical Image Reconstruction" is accepted to Optics and Lasers in Engineering.
  • [2017.10] Our paper "Implicit Block Diagonal Low-Rank Representation" is accepted to IEEE Transactions On Image Processing.
  • [2017.09] Our paper "Modeling Indoor Scenes with Repetitions from 3D Raw Point Data" is accepted to Computer-Aided Design.
                                                                         more >>

Join Us

If you are interested in digital geometry processing, large-scale 3D data processing, 3D scene analysis and understanding, or 3D measurement and inspection, and would like to join the group as a master or PhD student, postdoc or visiting researcher, please contact Prof. Jun Wang (wjun@nuaa.edu.cn) to discuss opportunities in the group.

About us

We study visual computing the computational principles on 3D data capturing, processing, reconstruction, and high-level 3D scene analysis and understanding. We are interested in building robot-based systems that automatically understand visual scenes, both inferring the semantics and modeling 3D structures.

At the moment, we focus on exploiting 3D geometry data for scene analysis, understanding and reconstruction (e.g. driven by RGB-D data, 3D point clouds, and polygonal mesh models). Additionally, we are also developing techniques on 3D measuring and inspection on industrial products and large-scale construction structures.