Spectral mesh processing is an idea that was proposed at the beginning of the 1990s to port the "signal processing toolbox" to the setting of 3D mesh models. Recent advances in both computing power and numerical software make it possible to fully implement this vision. In the classical context of sound and image processing, Fourier analysis was a cornerstone in development of a wide spectrum of techniques, such as filtering and recognition, to name but a few. In this course, attendees learn how to transfer the underlying concepts to setting a mesh model, how to implement the "spectral mesh processing" toolbox, and how to use it for real applications, including filtering, shape matching, remeshing, segmentation, and parameterization, among others.
['Bruno Lévy', 'Hao Zhang']
Spectral mesh processing