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Surface representation and processing is one of the key topics in computer graphics and geometric modeling, since it greatly affects the range of possible applications. In this paper we will present recent advances in geometry processing that are related to the Laplacian processing framework. This framework is based on linear operators defined on polygonal meshes, and furnishes a variety of processing applications, such as shape approximation and compact representation, mesh editing, filtering, watermarking and morphing. The core of the framework is the mesh Laplacian operator, which allows to define differential coordinates and new bases for efficient mesh geometry representation.
Olga Sorkine (Sat,) studied this question.