Title: Geometry driven local neighbourhood based predictors for dynamic mesh compression
Authors: Váša, Libor
Skala, Václav
Citation: Computer Graphics Forum. 2010, vol. 29, is. 6, p. 1921–1933.
Issue Date: 2010
Publisher: Wiley
Document type: preprint
URI: http://hdl.handle.net/11025/11335
ISSN: 0167-7055
Keywords: počítačová grafika;komprese dat;dynamické sítě;predikce;animace
Keywords in different language: computer graphics;data compression;dynamic networks;prediction;animation
Abstract: The task of dynamic mesh compression seeks to find a compact representation of a surface animation, while the artifacts introduced by the representation are as small as possible. In this paper we present two geometric predictors, which are suitable for PCA based compression schemes. The predictors exploit the knowledge about the geometrical meaning of the data, which allows a more accurate prediction, and thus a more compact representation. We also provide rate/distortion curves showing that our approach outperforms the current PCA-based compression methods by more than 20%.
Rights: This is the pre-peer reviewed version of the following article: VÁŠA, L. and Václav SKALA. Geometry-Driven Local Neighbourhood Based Predictors for Dynamic Mesh Compression. Computer Graphics Forum, 2010, vol. 29, is. 6, p. 1921–1933. doi: 10.1111/j.1467-8659.2010.01659.x., which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2010.01659.x/abstract.
Appears in Collections:Preprinty / Preprints (KIV)

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