Abstract:
The surface parameterization aims to efficiently compute a diffeomorphism between a surface and a canonical domain. The mapping induces a unified coordinate system on the surface, which can be applied to simplify 3D image and geometry processing tasks, such as registration, remeshing, and texture mapping. In this talk, I will introduce the theoretical foundation of nonlinear energy minimization for the computation of conformal and area-preserving parameterizations of simplicial surfaces, respectively. Applications to image and geometry processing will be demonstrated thereafter.
2022-11-07 16:00 ~ 2022-11-07 17:00
樂美亨教授(國立臺灣師範大學數學系)
第三綜合大樓2F 201