Chang Shu
Scholar

Chang Shu

Google Scholar ID: Ouu9Zv0AAAAJ
National Research Council of Canada
computer visioncomputer graphicscomputational geometrygeometry processingdigital human modeling
Citations & Impact
All-time
Citations
906
 
H-index
16
 
i10-index
19
 
Publications
20
 
Co-authors
20
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - 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.
Research Experience
  • 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. In the past, I worked on piecewise linear approximation of continuous surface (tessellation), robot motion planning, and finite element analysis for simulating engineering processes.
Background
  • 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.