from 13:00 to 16:30
|Where||Room 115, AICES, Rogowski|
|Contact Name||Vanessa Schiffers|
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Conformal Geometry Processing
Computer Science Department, Robotics Institute Carnegie Mellon University, USA
Digital geometry processing is the natural extension of traditional signal processing to three-dimensional geometric data. In recent years, methods based on so-called conformal (i.e., angle-preserving) transformations have proven to be a powerful paradigm for geometry processing since (i) numerical problems are typically linear, providing scalability and guarantees of correctness and (ii) conformal descriptions of geometry are often dramatically simpler or lower-dimensional than traditional encodings. This lecture will touch on both the mathematical foundations of conformal geometry, as well as recent numerical techniques and applications in 3D geometry processing.