6.838 Shape Analysis
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.
This class counts for a total of 12 credits. This is a graduate-level class.
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