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首页> 外文期刊>International Journal of Innovative Computing Information and Control >3D TRIANGLE MESH COMPRESSION BASED ON VECTOR QUANTIZATION WITH fc-RING VECTOR PREDICTION
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3D TRIANGLE MESH COMPRESSION BASED ON VECTOR QUANTIZATION WITH fc-RING VECTOR PREDICTION

机译：基于fc环矢量预测的矢量量化的3D三角形网格压缩

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摘要

The transmission and storage of large amounts of triangle and vertex geometry data are required for rendering geometrically detailed 3D meshes. To alleviate bandwidth requirements, this paper uses vector quantization (VQ) as an effective lossy vertex data compression technique for triangle meshes with high rate-distortion performance. The proposed novel VQ-based vertex encoding algorithm adopts a region growing based k-ring prediction scheme. During the encoding process, the value k related to the current vertex to be encoded is estimated by the prediction errors of the preceding encoded vertices, and then the adaptive prediction rule for the current vertex is obtained according to the value k. Therefore, the dynamic range of the residual vectors generated by the proposed prediction scheme is reduced. Thus it is expected to achieve a higher quantization quality with the same codebook size. Experimental results show that, compared with the vertex encoding algorithm based on the conventional parallelogram prediction scheme, the proposed algorithm can achieve a higher encoding quality at the same bit rate.
机译：渲染和绘制详细的3D网格需要大量的三角形和顶点几何数据的传输和存储。为了减轻带宽需求，本文使用矢量量化（VQ）作为具有高速率失真性能的三角形网格的有效有损顶点数据压缩技术。提出的新颖的基于VQ的顶点编码算法采用了基于区域增长的k环预测方案。在编码过程中，通过先前编码顶点的预测误差估计与待编码当前顶点有关的值k，然后根据该值k，获得当前顶点的自适应预测规则。因此，减小了由所提出的预测方案产生的残差矢量的动态范围。因此，期望在相同码本大小的情况下实现更高的量化质量。实验结果表明，与基于传统平行四边形预测方案的顶点编码算法相比，该算法在相同比特率下可以获得更高的编码质量。

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