Random accessible mesh compression using mesh chartification
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Updated: Jun 28, 2026

A Microfluidic Platform for Stimulating Chondrocytes with Dynamic Compression
Published on: September 13, 2019
Sungyul Choe1, Junho Kim, Haeyoung Lee
1Department of Computer Science and Engineering, POSTECH, Pohang, Korea. ggalssam@postech.ac.kr
Abstract:
Previous mesh compression techniques provide decent properties such as high compression ratio, progressive decoding, and out-of-core processing. However, only a few of them supports the random accessibility in decoding, which enables the details of any specific part to be available without decoding other parts. This paper proposes an effective framework for the random accessibility of mesh compression. The key component of the framework is a wire-net mesh constructed from a chartification of the given mesh. Charts are compressed separately for random access to mesh parts and a wire-net mesh provides an indexing and stitching structure for the compressed charts. Experimental results show that random accessibility can be achieved with competent compression ratio, which is only a little worse than single-rate and comparable to progressive encoding. To demonstrate the merits of the framework, we apply it to process huge meshes in an out-of-core manner, such as out-of-core rendering and out-of-core editing.
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