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Cost-driven framework for progressive compression of textured meshes

机译:用于纹理网格的渐进压缩成本驱动的框架

摘要

Techniques of compressing level of detail (LOD) data involve defining a cost metric that predicts how much computing resources are necessary to decode and render a mesh at a given LOD. The cost metric may be optimized by a selection of a LOD reduction process of a plurality of processes at each LOD reduction step. For each process of the plurality of processes, the LOD is reduced according to that process and the resulting reduced LOD is evaluated according to the cost metric. Each such process at that LOD reduction step produces a respective LOD, which includes a mesh, one or more texture atlases, and/or other attributes. The LOD produced by the process having the lowest value of the cost metric at a reduction step is the LOD that is input into the next LOD reduction step.
机译:压缩细节水平的技术(LOD)数据涉及定义预测计算资源的成本度量来解码多少计算资源并在给定LOD处呈现网格。可以通过在每个LOD降低步骤中选择多个处理的LOD减少处理来优化成本度量。对于多个过程的每个过程,根据该过程减少了LOD,并且根据成本度量来评估所得到的减少的LOD。在该LOD还原步骤中的每个这样的过程产生相应的LOD,其包括网格,一个或多个纹理atlase和/或其他属性。通过在还原步骤的成本度量的最低值的过程产生的床位是输入到下一个LOD还原步骤中的LOD。

著录项

  • 公开/公告号US10977773B2

    专利类型

  • 公开/公告日2021-04-13

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号US201916279319

  • 申请日2019-02-19

  • 分类号G06T3/40;G06T17/20;G06T9;

  • 国家 US

  • 入库时间 2022-08-24 18:10:54

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