Geometry Processing

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Geometry processing interprets three-dimensional curves and surfaces as signals. Like audio and image data, geometric data has exploded in availability. Unlike audio and images, geometry is not seeing the full application of big data analytics and modern machine learning. The core roadblock is lack of ro- bustness in the geometry processing toolbox. Prof. Jacobson will bring geometry processing up to speed via three parallel but complementary tracks: 1. Robust algorithms for recovering structure from unstructured, noisy geometric representations; 2. Robust numerical methods for solving partial differential equations on real-world geometric data; and 3. Robust user interfaces for direct manipulation and creation of geometric data.