Connectivity-guided adaptive lifting transform for image like compression of meshes
Date
2007-05Source Title
Proceedings of 3DTV-CON, 2007
Publisher
IEEE
Language
English
Type
Conference PaperItem Usage Stats
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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 1D 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
3D model compressionConnectivity-guided adaptive wavelet transform
Image-like mesh representation
Digital image storage
Digital television
Motion Picture Experts Group standards
Object recognition
Television broadcasting
Trees (mathematics)
Wavelet transforms
2d images
3D meshes
3D model compression
Adaptive predictors
Connectivity informations
Data streams
Image planes
Jpeg2000
Mesh compressions
Mesh vertices
Orthogonal projections
Rate distortions
Regular grids
Wavelet domains
Three dimensional