Record number :
1733111
Title of article :
A novel 3D mesh compression using mesh segmentation with multiple principal plane analysis
Author/Authors :
Cheng، نويسنده , , Shyi-Chyi and Kuo، نويسنده , , Chen-Tsung and Wu، نويسنده , , Da-Chun، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
13
From page :
267
To page :
279
Abstract :
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.
Keywords :
Principle plane analysis , K-means clustering , 3D mesh , segmentation , Compression
Journal title :
PATTERN RECOGNITION
Journal title :
PATTERN RECOGNITION
Serial Year :
2010
Link To Document :
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