3D scattered dataset compression based on Gaussian curvature

Zeyu Li; Dehua Li; Shiwei Tang; Jing Xue

doi:10.1117/12.442888

26 September 2001 3D scattered dataset compression based on Gaussian curvature

Zeyu Li, Dehua Li, Shiwei Tang, Jing Xue

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

Abstract

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.

Citation Download Citation

Zeyu Li, Dehua Li, Shiwei Tang, and Jing Xue "3D scattered dataset compression based on Gaussian curvature", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); https://doi.org/10.1117/12.442888

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