3D model compression using connectivity-guided adaptive wavelet transform built into 2D SPIHT

Date
2010-01
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
Journal of Visual Communication and Image Representation
Print ISSN
1047-3203
Electronic ISSN
Publisher
Academic Press
Volume
21
Issue
1
Pages
17 - 28
Language
English
Journal Title
Journal ISSN
Volume Title
Series
Abstract

Connectivity-Guided Adaptive Wavelet Transform based mesh compression framework is proposed. The transformation uses the connectivity information of the 3D model to exploit the inter-pixel correlations. Orthographic projection is used for converting the 3D mesh into a 2D image-like representation. The proposed conversion method does not change the connectivity among the vertices of the 3D model. There is a correlation between the pixels of the composed image due to the connectivity of the 3D mesh. The proposed wavelet transform uses an adaptive predictor that exploits the connectivity information of the 3D model. Known image compression tools cannot take advantage of the correlations between the samples. The wavelet transformed data is then encoded using a zero-tree wavelet based method. Since the encoder creates a hierarchical bitstream, the proposed technique is a progressive mesh compression technique. Experimental results show that the proposed method has a better rate distortion performance than MPEG-3DGC/MPEG-4 mesh coder.

Course
Other identifiers
Book Title
Citation
Published Version (Please cite this version)