DocumentCode :
1576712
Title :
Connectivity-Guided Predictive Compression of Dynamic 3D Meshes
Author :
Stefanoski, N. ; Ostermann, Jorn
Author_Institution :
Inst. fur Informationsverarbeitung, Hannover Univ., Germany
fYear :
2006
Firstpage :
2973
Lastpage :
2976
Abstract :
We introduce an efficient algorithm for real-time compression of temporally consistent dynamic 3D meshes. The algorithm uses mesh connectivity to determine the order of compression of vertex locations within a frame. Compression is performed in a frame to frame fashion using only the last decoded frame and the partly decoded current frame for prediction. Following the predictive coding paradigm, local temporal and local spatial dependencies between vertex locations are exploited. In this framework we present a novel angle preserving predictor and evaluate its performance against other state of the art predictors. It is shown that the proposed algorithm improves up to 25% upon the current state of the art for compression of temporally consistent dynamic 3D meshes.
Keywords :
data compression; decoding; image coding; prediction theory; spatiotemporal phenomena; angle-preserving predictor; connectivity-guided predictive compression; decoding; dynamic 3D meshes; frame-to-frame compression; local spatio-temporal coherence; predictive coding paradigm; real-time compression; vertex locations; Animation; Coherence; Compression algorithms; Decoding; Linear predictive coding; Prediction methods; Predictive coding; Principal component analysis; Quantization; Wavelet transforms; Mesh compression; animation compression; dynamic 3D mesh coding; linear predictive coding; non-linear predictive coding; prediction methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.312961
Filename :
4107194
Link To Document :
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