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Spectral Geometry Image: Image Based 3D Models for Digital Broadcasting Applications

机译:光谱几何图像:用于数字广播应用的基于图像的3D模型

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摘要

The use of 3D models for progressive transmission and broadcasting applications is an interesting challenge due to the nature and complexity of such content. In this paper, a new image format for the representation of 3D progressive model is proposed. The powerful spectral analysis is combined with the state of art Geometry Image(GI) to encode static 3D models into spectral geometry images(SGI) for robust 3D shape representation. Based on the 3D model's surface characteristics, SGI separated the geometrical image into low and high frequency layers to achieve effective Level of Details(LOD) modeling. For SGI, the connectivity data of the model is implicitly encoded in the image, thus removing the need for additional channel bits allocated for its protection during transmission. We demonstrated that by coupling SGI together with an efficient channel allocation scheme, an image based method for 3D representation suitable for adoption in conventional broadcasting standard is proposed. The proposed framework is effective in ensuring the smooth degradation of progressive 3D models across varying channel bandwidths and packet loss conditions.
机译:由于这种内容的性质和复杂性,将3D模型用于渐进式传输和广播应用是一个有趣的挑战。在本文中,提出了一种用于表示3D渐进模型的新图像格式。强大的光谱分析与最先进的几何图像(GI)相结合,可将静态3D模型编码为光谱几何图像(SGI),以实现强大的3D形状表示。基于3D模型的表面特征,SGI将几何图像分为低频和高频层,以实现有效的“细节层次”(LOD)建模。对于SGI,模型的连接性数据被隐式编码在图像中,从而消除了在传输过程中为其保护分配的额外通道位的需要。我们证明,通过将SGI与有效的信道分配方案结合在一起,提出了一种适用于常规广播标准的基于图像的3D表示方法。所提出的框架在确保渐进式3D模型在变化的信道带宽和丢包情况下的平滑降级方面有效。

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