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

机译:通过小波压缩三维多边形网格几何数据,其围绕顶点倒闭

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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:提出了一种压缩使用SSV(结构化周围顶点)来倒置的三维多边形网格的几何数据的新方法。通过折叠原始网格的边缘将原始网格转换为基网元,并且使用SSV创建基网网格的2-D结构化几何数据。基于基于基网网的连接,通过在基网网格中添加顶点来创建展开的结构化几何数据。扩展的结构化几何数据采用多分辨率数据的形式,通过提升小波变换的预测和更新处理来改变顶点的坐标数据。变换的系数由SFQ(空间频率量化)编码。将所提出的方法应用于几个多边形网格的实验表明,与传统方案相比,该方法在较低比特率下提供更好的编码性能。

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