论文信息 - A feature preserved mesh simplification algorithm

A feature preserved mesh simplification algorithm

Large-volume mesh model faces challenge in rendering, storing, and transmission due to large size of polygon data. Mesh simplification is one of solutions to reduce the data size.This paper presents a mesh simplification method based on feature extraction withcurvature estimation to triangle mesh. The simplified topology preserves good geometricalfeatures in the area with distinct features, that is, coarse simplified mesh in the flat region and fine simplified mesh around the areas of crease and corner. Sequence of mesh simplification is controlled on the basis of geometrical feature sensitivity, which results inreasonable simplification topology with less data size. This algorithm can decrease thesize of the file by largely simplifying flat areas and preserving the geometric feature as well. Key word: Mesh simplification, feature extraction, curvature estimation

[1] Ricardo Quirós,et al. User-assisted simplification method for triangle meshes preserving boundaries , 2009, Comput. Aided Des..

[2] Huazhong Shu,et al. Moment-based metrics for mesh simplification , 2007, Comput. Graph..

[3] Leandro Tortosa,et al. Analysis and efficiency of the GNG3D algorithm for mesh simplification , 2008, Appl. Math. Comput..

[4] Ehud Rivlin,et al. A comparison of Gaussian and mean curvature estimation methods on triangular meshes of range image data , 2007, Comput. Vis. Image Underst..

[5] Michael Garland,et al. Surface simplification using quadric error metrics , 1997, SIGGRAPH.

[6] Marc Alexa,et al. Mesh simplification by stochastic sampling and topological clustering , 2009, Comput. Graph..

[7] Anshuman Razdan,et al. Curvature estimation scheme for triangle meshes using biquadratic Bézier patches , 2005, Comput. Aided Des..

[8] Weidong Li,et al. Collaborative Computer-Aided Design - Research and Development Status , 2004 .

[9] Hugues Hoppe,et al. Progressive meshes , 1996, SIGGRAPH.

[10] Jihad El-Sana,et al. Carving for topology simplification of polygonal meshes , 2010, Comput. Aided Des..

[11] Gérard G. Medioni,et al. Inference of Surfaces, 3D Curves, and Junctions From Sparse, Noisy, 3D Data , 1997, IEEE Trans. Pattern Anal. Mach. Intell..