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3-D wavelet compression and progressive inverse wavelet synthesis rendering of concentric mosaic

机译:同心镶嵌的3D小波压缩和渐进逆小波合成渲染

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Using an array of photo shots, the concentric mosaic offers a quick way to capture and model a realistic three-dimensional (3-D) environment. We compress the concentric mosaic image array with a 3-D wavelet transform and coding scheme. Our compression algorithm and bitstream syntax are designed to ensure that a local view rendering of the environment requires only a partial bitstream, thereby eliminating the need to decompress the entire compressed bitstream before rendering. By exploiting the ladder-like structure of the wavelet lifting scheme, the progressive inverse wavelet synthesis (PIWS) algorithm is proposed to maximally reduce the computational cost of selective data accesses on such wavelet compressed datasets. Experimental results show that the 3-D wavelet coder achieves high-compression performance. With the PIWS algorithm, a 3-D environment can be rendered in real time from a compressed dataset.
机译:同心马赛克使用一系列照片拍摄,提供了一种捕获和建模逼真的三维(3-D)环境的快速方法。我们使用3-D小波变换和编码方案压缩同心镶嵌图像阵列。我们的压缩算法和位流语法旨在确保环境的局部视图渲染仅需要部分位流,从而消除了在渲染之前对整个压缩位流进行解压缩的需要。通过利用小波提升方案的阶梯状结构,提出了渐进式逆小波综合(PIWS)算法,以最大程度地降低此类小波压缩数据集上选择性数据访问的计算成本。实验结果表明,该3-D小波编码器具有较高的压缩性能。使用PIWS算法,可以从压缩数据集中实时渲染3-D环境。

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