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논문검색

Feature-preserving, Adaptive and Anisotropic Smoothing Algorithm for Triangular Mesh Models

초록

영어

Despite the great success in smoothing of triangular mesh, the classical methods mostly require human interactions. In order to reduce the parameter settings, an adaptive and anisotropic smoothing algorithm for removing noise and preserving features of triangular mesh model was proposed. First calculate the expected normal vector of the model triangles, the expected normal vector should be an accurate representation of the desired movement direction and be similar to the original surface normal vector, and then we compute the value of the offset value. We develop an adaptive coefficient scheme which can avoid the parameter settings to obtain the coefficient value for each vertex. Finally, we updated every vertex’s position of the model by formula. Experimental results show that the algorithm can be adaptive to preserve sharp features and avoid shrinkages by comparing with classical methods.

목차

Abstract
 1. Introduction
 2. Adaptive and Anisotropic Smoothing Algorithm
  2.1. Expect Normal Vector Optimization
  2.2. Vertex Offset Optimization
  2.3. The Offset Coefficient Optimization
 3. Experimental Results
 4. Conclusion
 Acknowledgments
 References

저자정보

  • Liu Xu-min College of Information Engineering, Capital Normal University, Beijing, China
  • Yang Li-xin College of Computer, Beijing University of Post & Telcommunication, Beijing, China
  • Li Cai-ling College of Information Engineering, Capital Normal University, Beijing, China

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