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Image‐Based Surface Compression
Author(s) -
Ochotta Tilo,
Saupe Dietmar
Publication year - 2008
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2008.01178.x
Subject(s) - computer science , parameterized complexity , surface (topology) , compression (physics) , wavelet , image compression , planar , encoder , image (mathematics) , computer graphics (images) , computer vision , subdivision surface , data compression , point (geometry) , surface reconstruction , algorithm , artificial intelligence , polygon mesh , image processing , mathematics , geometry , materials science , composite material , operating system
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.