Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose an efficient compression method to encode the geometry of 3D mesh sequences of objects sharing the same connectivity. Our approach is based on the clustering of the input mesh geometry into groups of vertices following the same affine motion. The proposed algorithm uses a scan-based temporal wavelet filtering geometrically compensated. The wavelet coefficients are encoded by an efficient coding scheme that includes a bit allocation process, whereas the displacement vectors are lossless entropy encoded. Simulation results provides good compression performances compared to some state of the art coders.
['Yasmine Boulfani-Cuisinaud', 'Marc Antonini']
I am writing a research paper on a idea Motion-Based Geometry Compensation for DWT Compression of 3D mesh Sequences
[{"from": "human", "value": "I am writing a research paper on a idea Motion-Based Geometry Compensation for DWT Compression of 3D mesh Sequences"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose an efficient compression method to encode the geometry of 3D mesh sequences of objects sharing the same connectivity. Our approach is based on the clustering of the input mesh geometry into groups of vertices following the same affine motion. The proposed algorithm uses a scan-based temporal wavelet filtering geometrically compensated. The wavelet coefficients are encoded by an efficient coding scheme that includes a bit allocation process, whereas the displacement vectors are lossless entropy encoded. Simulation results provides good compression performances compared to some state of the art coders."}]