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附加法向信息的三维网格预测编码

Compression of 3D Mesh Based on Normal Data Prediction

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【作者】 高原施云惠韩妍妍曾萍尹宝才

【Author】 GAO Yuan;SHI Yun-hui;HAN Yan-yan;ZENG Ping;YIN Bao-cai;Department of Electronics and Communication Engineering,Beijing Electronics Science Technology Institute;State Information Center;Beijing Key Laboratory of Multimedia and Intelligent Software Technology,Faculty of Information Technology,Beijing University of Technology;Faculty of Electronic Information and Electrical Engineering,Dalian University of Technology;

【机构】 北京电子科技学院电子与通信工程系国家信息中心北京工业大学信息学部,多媒体与智能软件技术北京市重点实验室大连理工大学电子信息与电气工程学部

【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.

【Abstract】 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.

【基金】 国家自然科学基金资助项目(61472018,61672066,61772049);中央高校基本科研业务费资助项目(328201801)
  • 【文献出处】 北京理工大学学报 ,Transactions of Beijing Institute of Technology , 编辑部邮箱 ,2019年01期
  • 【分类号】TP391.41
  • 【下载频次】65
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