News:

  • [2016.08] Our paper "Shape Detection from Raw LiDAR Data with Subspace Modeling" is accepted to IEEE Transactions on Visualization and Computer Graphics (TVCG).
  • [2016.08] Our paper "Automatic Modeling of Urban Facades from Raw LiDAR Point Data" is accepted to Pacific Graphics 2016, a special issue of Computer Graphics Forum.
  • [2016.07] Yan, Xiaoxi and Kaicheng joined us. Welcome!
  • [2016.04] Our paper "A Closed-Form Formulation of HRBF-Based Surface Reconstruction" is accepted to Computer-Aided Design.
  • [2016.02] Our paper "Tensor Voting Guided Mesh Denoising" is accepted to IEEE Transactions on Automation Science and Engineering.
  • [2016.01] Our paper "Cluttered Indoor Scene Modeling via Functional Part-Guided Graph Matching" is accepted to Computer Aided Geometric Design.
  • [2015.08] Prof. Xianfeng Gu from Stony Brook University visited us and gave a talk on “ Poincare Conjecture and its Applications ”.
  • [2015.07] Cheng and Hongbin joined us. Welcome!
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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.