26 September 2001 3D scattered dataset compression based on Gaussian curvature
Author Affiliations +
Proceedings Volume 4551, Image Compression and Encryption Technologies; (2001) https://doi.org/10.1117/12.442888
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
A compression method of 3D scattered dataset based on octree is proposed in this paper. The Gaussian curvature of a surface is used as the criterion to compress the dataset. The points containing more structural information of the shape of a surface will be kept. At the same time, the 3D object surface is decomposed into a set of Local Surface Patches (LSPs) using the octree model, and the time-consuming process of can be avoided. Practical experiments show that this method can achieve higher compression rate.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zeyu Li, Zeyu Li, Dehua Li, Dehua Li, Shiwei Tang, Shiwei Tang, Jing Xue, Jing Xue, } "3D scattered dataset compression based on Gaussian curvature", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); doi: 10.1117/12.442888; https://doi.org/10.1117/12.442888

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