6.838 Advanced Topics in Computer Graphics: Shape Analysis


Graduate Level
Units:  3-0-9
Prerequistes:  18.02, 18.06; 6.837 or 6.869 recommended
Instructor:  Professor Justin Solomon (jsolomon@mit.edu)
Schedule:  TR1-2:30 in 32-124
Introduces mathematical, algorithmic, and statistical tools needed to analyze geometric data, with applications to computer graphics, computer vision, medical imaging, machine learning, architecture, and other fields.  Potential topics include:  applied introduction to differential geometry; discrete notions of curvature; PDE on geometric domains via the finite element method (FEM) and discrete exterior calculus (DEC); computational spectral geometry; correspondence and mapping; metric geometry; level set methods; descriptors; shape collections; and vector field design.