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Compression of 3-D Polygon Mesh Geometry Data by Wavelets with Structuring Surrounding Vertices Remeshing

机译:小波压缩3D多边形网格几何数据并构造周围顶点网格

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A new method for compressing the geometry data of 3-D polygon mesh that remeshes using SSV (Structuring Surrounding Vertices) is proposed. An original mesh is converted to a base mesh by collapsing the edges of the original mesh, and 2-D structured geometry data of the base mesh are created using SSV. Based on the connectivity of the base mesh, expanded structured geometry data are created by adding the vertices in the base mesh. The expanded structured geometry data takes the form of multi-resolution data, and coordinate data of vertices are transformed by prediction and update processes of the lifting wavelet transform. The transformed coefficients are encoded by SFQ (Space Frequency Quantization). Experiments applying the proposed method to several polygons meshes show that the proposed method gives a better coding performance at lower bit rates when compared to the conventional schemes.
机译:提出了一种新的3维多边形网格的几何数据压缩方法。通过折叠原始网格的边缘将原始网格转换为基础网格,并使用SSV创建基础网格的2D结构化几何数据。基于基础网格物体的连通性,可通过在基础网格物体中添加顶点来创建扩展的结构化几何数据。扩展后的结构化几何数据采用多分辨率数据的形式,顶点的坐标数据通过提升小波变换的预测和更新过程进行变换。变换后的系数通过SFQ(空间频率量化)进行编码。将所提出的方法应用于多个多边形网格的实验表明,与传统方案相比,所提出的方法在较低的比特率下具有更好的编码性能。

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