title: Dual Laplacian editing for meshes.
abstract: Recently, differential information as local intrinsic feature descriptors has been used for mesh editing. Given certain user input as constraints, a deformed mesh is reconstructed by minimizing the changes in the differential information. Since the differential information is encoded in a global coordinate system, it must somehow be transformed to fit the orientations of details in the deformed surface, otherwise distortion will appear. We observe that visually pleasing deformed meshes should preserve both local parameterization and geometry details. We propose to encode these two types of information in the dual mesh domain due to the simplicity of the neighborhood structure of dual mesh vertices. Both sets of information are nondirectional and nonlinearly dependent on the vertex positions. Thus, we present a novel editing framework that iteratively updates both the primal vertex positions and the dual Laplacian coordinates to progressively reduce distortion in parametrization and geometry. Unlike previous related work, our method can produce visually pleasing deformations with simple user interaction, requiring only the handle positions, not local frames at the handles.
authors.affiliation: Department of Computer Science, Hong Kong University of Science & Technology, Clear Water Bay. oscarau@ust.hk
authors.forename: Oscar Kin-Chung
authors.initials: OK
authors.lastname: Au
authors.forename: Chiew-Lan
authors.initials: CL
authors.lastname: Tai
authors.forename: Ligang
authors.initials: L
authors.lastname: Liu
authors.forename: Hongbo
authors.initials: H
authors.lastname: Fu
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D014584:User-Computer Interface