Compressing polygon mesh geometry with parallelogram prediction
Proceedings of the conference on Visualization '02
3D mesh compression using fixed spectral bases
GRIN'01 No description on Graphics interface 2001
Out-of-core compression for gigantic polygon meshes
ACM SIGGRAPH 2003 Papers
Normal vector compression of 3D mesh model based on clustering and relative indexing
Future Generation Computer Systems - Special issue: Computer graphics and geometric modeling
Journal of Visual Communication and Image Representation
Single-rate near lossless compression of animated geometry
Computer-Aided Design
Normal vector compression of 3D mesh model based on clustering and relative indexing
Future Generation Computer Systems
Technologies for 3D mesh compression: A survey
Journal of Visual Communication and Image Representation
Iterative image coding using hybrid wavelet-based triangulation
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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In the field of geometry compression, two main compression targets exist. One is triangle connectivity data and the other is vertex position data. In this paper, we propose a novel algorithm to compress the vertex data. A fundamentally different approach we took in this paper is to transform the vertex positions to the model space, a coordinate system formed by the three previously processed vertices. Once all the vertices are transformed, we found that the result shows a strong tendency to cluster around three points. We exploit such tendency during the vector quantization steps to increase the compression ratio. According to the experiments performed on 12 models, the average compression performance of our algorithm is 6.7 bits/vertex, which is a clear improvement over the previous methods.