Chang Shu


Adjunct Research Professor
School of Computer Science
Carleton University
Senior Research Scientist
Digital Technologies Research Centre
National Research Council Canada

Tel: (613) 993-0109
Email: chang.shu at

Professional Activities

My primary research interest is in analyzing and processing of geometric information arising from the physical world. This problem lies at the center of a few related fields: computer graphics, computer vision, robotics, and computer-aided design. My goal is to create computationally efficient schemes for processing geometric data in various applications.

Currently, my research is focused on developing geometric and statistical methods for understanding shape variations in human and other biological forms. I lead the Digital Human Modeling Project at the National Research Council of Canada. We apply statistical shape analysis to 3-D anthropometric data and develop tools to visualize human shape variations. This research has applications in ergonomic design, medical and biological research, security, and game and animation.

I am interested in developing geometric algorithms for processing data obtained from digitizing real-world objects. This includes mesh generation, rigid and non-rigid registration, surface parameterization, deformation, and completion. I am also interested in reconstructing 3-D models from images. In the past, I worked on piecewise linear approximation of continuous surface (tessellation), robot motion planning, and finite element analysis for simulating engineering processes. I am especially interested in the mathematical and algorithmic problems arisen from these practical problems. I draw tools from computational geometry, differential geometry, numerical analysis, probability and statistics, and algorithm design and analysis.



  • I'm profiled in Carleton's Research Works.
  • Procrustica, a shape variation visualization tool is available.
  • 3DIM 2009 was held as a workshop in conjunction with ICCV 2009, Kyoto, Japan. Sept. 29 - Oct. 4, 2009.
  • Digital Human Modeling project is featured in NRC News.