附加法向信息的三维网格预测编码
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摘要
为提升三维网格的压缩性能,提出了一种网格法向与几何帧内-帧间预测编码方法.该方法充分利用法向数据内部分量间(帧内)及几何与法向数据间(帧间)的相关性,实现附加法向信息的三维网格压缩,有效保持解码后三维网格的几何特性.实验结果表明,提出的预测编码方法相比分别压缩三维网格法向与几何数据,能够显著提高附加法向信息三维网格的压缩效率.
As an important data type of digital geometric media, 3 D mesh can accurately record the geometric information on the surface of models. The complexity and precision of 3 D meshes have been increased, which has brought huge pressure for storage and transmission. In order to improve the compression performance of 3 D mesh, a geometry and normal intra-inter prediction encoding method was proposed. Utilizing the correlation of internal components of the normal data(intra-frame) and the correlation between the geometric and normal data(inter-frame), the method was designed to realize the compression of 3 D mesh and to effectively maintain geometric characteristics of decoded 3 D mesh. Experimental results show that, in comparison with compressing the normal and geometric data respectively, the proposed prediction encoding methods can significantly increase compression efficiency for 3 D mesh with normal data.
As an important data type of digital geometric media, 3 D mesh can accurately record the geometric information on the surface of models. The complexity and precision of 3 D meshes have been increased, which has brought huge pressure for storage and transmission. In order to improve the compression performance of 3 D mesh, a geometry and normal intra-inter prediction encoding method was proposed. Utilizing the correlation of internal components of the normal data(intra-frame) and the correlation between the geometric and normal data(inter-frame), the method was designed to realize the compression of 3 D mesh and to effectively maintain geometric characteristics of decoded 3 D mesh. Experimental results show that, in comparison with compressing the normal and geometric data respectively, the proposed prediction encoding methods can significantly increase compression efficiency for 3 D mesh with normal data.
引文
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[2] Tejera M,Hilton A.Compression techniques for 3D video mesh sequences[M].[S.l.]:Springer Berlin Heidelberg,2012:12-25.
[3] Deering M.Geometry compression[C]//Proceedings of the 22nd Annual Conference on Computer Graphics and IUnteractive Techniques.[S.l.]:ACM,1995:13-20.
[4] Maglo A,Lavoué G,Dupont F,et al.3D mesh compression:survey,comparisons and emerging trends[J].ACM Computing Surveys,2015,47(3):41-44.
[5] Kim D S,Cho Y,Kim H.Normal compression based on clustering and relative indexing[C]//Proceedings of the 10th Pacific Conference on Computer Graphics and Applications.[S.l.]:IEEE,2002:446-447.
[6] Ahn J H,Kim C S,Ho Y S.Predictive compression of geometry,color and normal data of 3-D mesh models[J].IEEE Transactions on Circuits and Systems for Video Technology,2006,16(2):291-299.
[7] Krüger L,Sxhneider J,Westermann R.DUODECIM-a structure for point scan compression and rendering[C]//Eurographics/IEEE VGTC Symposium Proceedings.[S.l.]:IEEE,2005:99-146.
[8] Bass A,Been K.Progressive compression of normal vectors[C]//Proceedings of the Third International Symposium on 3D Data Processing,Visualization,and Transmission.[S.l.]:IEEE,2006:1010-1017.
[9] Aspert N,Samta-cruz D,Ebrahimi T.MESH:measuring errors between surfaces using the Hausdorff distance[C]∥Proceedings of Multimedia and Expo?02.[S.l.]:IEEE,2002:705-708.