Yasmine Boulfani-Cuisinaud

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In this paper, We 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(More)
We present an efficient compression algorithm for sequences of triangular meshes with fixed connectivity. Our two main contributions in this paper are : a clustering technique which regroups the vertices following the same affine motion; a geometry compensation technique based on the estimation of 3D motion parameters which are modeled by affine transform(More)
We introduce in this paper a new compression process to encode the geometry of 3D mesh sequences (with a fixed connectivity). The proposed method uses a scan-based wavelet transform with an original approach which consists to compensate the geometry displacements of the mesh sequence. The proposed coder is based on temporal lifting scheme and bit allocation(More)
This paper presents an efficient compression algorithm to encode the geometry of 3D mesh sequences with fixed connectivity. The proposed approach includes a temporal scan-based wavelet transform and motion compensation of the mesh geometry. Motion estimation/compensation is performed thanks to an efficient motion-based clustering approach The motion(More)
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