Image-Based Surface Compression

We present a generic framework for compression of densely sampled 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 meshand point-based geometry, but also outperforms current surface encoders for both primitives. Categories and Subject Descriptors (according to ACM CCS): I.4 [Coding and Information Theory]: Data compaction and compression

• Type: Journal
• Year: 2008
• Where: CGF
• Authors: Tilo Ochotta, Dietmar Saupe
• Keywords: CGF 2008, Generic Framework, Planar Domains, Wavelet Image Coder