A novel 3D mesh compression using mesh segmentation with multiple principal plane analysis

作者：Cheng Shyi Chyi^*; Kuo Chen Tsung; Wu Da Chun

来源：Pattern Recognition, 2010, 43(1): 267-279.

DOI：10.1016/j.patcog.2009.05.016

• 3D mesh
• Compression
• Segmentation
• Principle plane analysis
• k-means clustering

This paper proposes a novel scheme for 3D model compression based on mesh segmentation using multiple principal plane analysis. This algorithm first performs a mesh segmentation scheme, based on fusion of the well-known k-means clustering and the proposed principal plane analysis to separate the input 3D mesh into a set of disjointed polygonal regions. The boundary indexing scheme for the whole object is created by assembling local regions. Finally, the current work proposes a triangle traversal scheme to encode the connectivity and geometry information simultaneously for every patch under the guidance of the boundary indexing scheme. Simulation results demonstrate that the proposed algorithm obtains good performance in terms of compression rate and reconstruction quality.

• 出版日期2010-1