Mathematics Colloquia and Seminars

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Automated processes for recognizing geometric features of objects in 3-space have numerous applications in computer graphics, physical sciences, and biology. I will introduce a new approach for determining shape features of closed surfaces in $\R^3$ using discrete analytic function theory. This approach not only determines key feature points, but gives a measure on how close two surfaces are from being isometric. I will provide all necessary background information and give real life applications to the protein classification problem.