Title :
Connectivity-Guided Adaptive Lifting Transform for Image Like Compression of Meshes
Author :
Kivanc Kose;A. Enis Cetin;Ugur Gudukbay;Levent Onural
Author_Institution :
Department of Electrical and Electronics Engineering, Bilkent University, 06800 Bilkent, Ankara, Turkey
fDate :
5/7/2016 12:00:00 AM
Abstract :
We propose a new connectivity-guided adaptive wavelet transform based mesh compression framework. The 3D mesh is first transformed to 2D images on a regular grid structure by performing orthogonal projections onto the image plane. Then, this image-like representation is wavelet transformed using a lifting structure employing an adaptive predictor that takes advantage of the connectivity information of mesh vertices. Then the wavelet domain data is encoded using "Set Partitioning In Hierarchical Trees" (SPIHT) method or JPEG2000. The SPIHT approach is progressive because the resolution of the reconstructed mesh can be changed by varying the length of the ID data stream created by the algorithm. In JPEG2000 based approach, quantization of the coefficients determines the quality of the reconstruction. The results of the SPIHT based algorithm is observed to be superior to JPEG200 based mesh coder and MPEG-3DGC in rate-distortion.
Keywords :
"Image coding","Signal processing algorithms","Wavelet transforms","Transform coding","Decoding","Data engineering","Image converters","Compression algorithms","Information geometry","Wavelet domain"
Conference_Titel :
3DTV Conference, 2007
Print_ISBN :
978-1-4244-0721-7
Electronic_ISBN :
2161-203X
DOI :
10.1109/3DTV.2007.4379443