DocumentCode :
3487866
Title :
Multiresolution decomposition for triangular mesh geometry coding based on structuring surrounding vertices
Author :
Watanabe, Shuji ; Kawanaka, Akira
Author_Institution :
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
3505
Lastpage :
3508
Abstract :
A novel coding method using multiresolution decomposition for triangular mesh is proposed. We have proposed surrounding vertices structuring on a 2-D plane to obtain 2-D structured geometry data. In this paper, non-separable component decomposition is proposed to decompose the structured geometry data in consideration of correlations among neighboring vertices. The structured data are decomposed into four components depending on whether each vertex was located at even or odd positions along the horizontal and vertical axes. And a prediction and update are performed. In the prediction process the predicted value is obtained from the non-processed vertices neighboring to the target vertex in the 3-D space. By repeating the decomposition process for the update component, octave-decomposed coefficients are obtained. The vector SFQ is introduced to remove redundancies among the coefficients at similar positions in different resolution levels. Experiments showed that the proposed method gave better coding performances comparing to conventional coding schemes.
Keywords :
computer graphics; geometric codes; image coding; image resolution; 2D plane; 2D structured geometry data; 3D space; computer graphics; multiresolution decomposition; nonseparable component decomposition; octave-decomposed coefficients; prediction process; structuring surrounding vertices; triangular mesh geometry coding; Application software; Computer applications; Computer graphics; Design automation; Geometry; Image coding; Image reconstruction; Motion pictures; Quantization; Wavelet transforms; 2-D structuring; Geometry data coding; Multiresolution decomposition; Polygonal mesh; Space-frequency quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414065
Filename :
5414065
Link To Document :
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