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Crane Seminar

What Short Course
When 2017-07-06
from 13:00 to 16:30
Where Room 115, AICES, Rogowski
Contact Name Vanessa Schiffers
Contact Email
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Conformal Geometry Processing

Prof. Dr. Keenan Crane
Computer Science Department, Robotics Institute Carnegie Mellon University, USA



Abstract
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.