Compressed Sensing for Efficient Encoding of Dense 3D Meshes Using Model-Based Bayesian Learning
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DOI: 10.1109/tmm.2016.2605927
Abstract: With the growing demand for easy and reliable generation of 3D models representing real-world or synthetic objects, new schemes for acquisition, storage, and transmission of 3D meshes are required. In principle, 3D meshes consist of… read more here.
Keywords: compression; compressed sensing; sensing efficient; geometry ... See more keywords