This paper proposes a novel approach for mono-resolution 3D mesh compression, called TFAN (Triangle Fan-based compression). TFAN treats in a unified manner meshes of arbitrary topologies, i.e., manifold or not, oriented or not, while offering a linear computational complexity (with respect to the number of mesh vertices) for both encoding and decoding algorithms. In addition, the TFAN compressed representation is optimized for real-time decoding applications. In order to validate the proposed approach, two databases have been considered for experimentations. The first is the MPEG-4 test set, which includes over 3500 general purpose manifold meshes. The second, related to the French national project SEMANTIC-3D, includes over 4000 computer assisted design (CAD) meshes of highly irregular, non-manifold topologies. In both cases, the TFAN approach outperforms existing techniques such as MPEG-4/3DMC (3D Mesh Coding) or Touma and Gotsman, with decoding times lower by an order of magnitude at equivalent or even better levels of compression efficiency (W10% in bitrate). In addition, when applied to non-manifold 3D data, the compression performances are significantly enhanced (6-30% gain in bitrate). Due to its high compression performances the TFAN approach has been recently retained for ISO standardization, within the framework of the MPEG-4/AFX standard.
This paper proposes a novel approach for 3D mesh compression, based on a skinning animation technique. The core of the proposed method is a piecewise affine predictor coupled with a skinning model and a DCT representation of the residuals errors. The experimental evaluation shows that the proposed skinning-based encoder outperforms (with bitrates gains from 47% to 67%) GV, RT, MPEG-4/AFX-IC, D3DMC, PCA and Dynapack techniques.
This paper presents a new compression technique for 3D dynamic meshes, referred to as FAMC -Frame-based Animated Mesh Compression, recently promoted within the MPEG-4 standard as Amendement 2 of part 16 AFX (Animation Framework eXtension). The heart of the method is a skinning model optimally computed from a frame-based representation and exploited for compression purposes within the framework of a motion compensation strategy. The proposed encoder offers high compression performances (gains in bitrate of 60% with respect to the previous MPEG-4 technique and of 20 to 40% with respect to state-of-the-art approahes) and is well suited for compressing both geometric and photometric attributes.
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