Image‐Based Surface Compression |
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Authors: | Tilo Ochotta Dietmar Saupe |
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Affiliation: | 1. University of Utah;2. University of Konstanz |
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Abstract: | We present a generic framework for compression of densely sampled three‐dimensional (3D) surfaces in order to satisfy the increasing demand for storing large amounts of 3D content. We decompose a given surface into patches that are parameterized as elevation maps over planar domains and resampled on regular grids. The resulting shaped images are encoded using a state‐of‐the‐art wavelet image coder. We show that our method is not only applicable to mesh‐ and point‐based geometry, but also outperforms current surface encoders for both primitives. |
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Keywords: | height fields 3D model coding mesh coding I 4 [Coding and Information Theory]: Data compaction and compression |
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