The 3D mesh geometry is spatially correlated on each direction in the Cartesian coordinate system, this redundancy leading to a huge VRML file. In order to decorrelate the geometry of 3D mesh, the linear prediction rule used by actual methods is substituted by a Blind Sources Separation technique. For this reason we propose to take the correlated geometry of 3D mesh as observations and decorrelated geometry as sources corresponding at largest energy. The global mixing matrix, achieved by the geometry division into blocks, represents the bitstream of compressed file. Its elements are quantized, binary approximated and encoded using arithmetic coding, providing effective compression. BSS technique proposed is entitled Robust Second Order Blind Identification.
Robust Second Order Blind Identification, eigenvalues decomposition, Prediction, 3D mesh, compression.
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