Arithmetic coding for data compression
Communications of the ACM
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Multiresolution surface modeling based on hierarchical triangulation
Computer Vision and Image Understanding
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Geometric compression through topological surgery
ACM Transactions on Graphics (TOG)
Progressive compression of arbitrary triangular meshes
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Progressive compressive and transmission of arbitrary triangular meshes
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Edgebreaker: Connectivity Compression for Triangle Meshes
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
Embedded coding of 3D graphic models
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Wavelet-Based Progressive Compression Scheme for Triangle Meshes: Wavemesh
IEEE Transactions on Visualization and Computer Graphics
Technologies for 3D mesh compression: A survey
Journal of Visual Communication and Image Representation
Geometry compression of 3-D mesh models using predictive two-stage quantization
IEEE Transactions on Circuits and Systems for Video Technology
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A geometry-driven hierarchical compression technique for triangle meshes is proposed such that the compressed 3D models can be efficiently transmitted in a multi-resolution manner. In 3D progressive compression, we usually simplify the finest 3D model to the coarsest mesh vertex by vertex and thus the original model can be reconstructed from the coarsest mesh by operating vertex-split operations in the inversed vertex simplification order. In general, the cost for the vertex-split operations will be increased as the mesh grows. In this paper, we propose a hierarchical compression scheme to keep the cost of the vertex-split operations being independent to the size of the mesh. In addition, we propose a geometry-driven technique, which predicts the connectivity relationship of vertices based on their geometry coordinates, to compress the connectivity information efficiently. The experimental results show the efficiency of our scheme.