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      • Faculty of Engineering
      • Department of Computer Engineering
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      Connectivity-guided adaptive lifting transform for image like compression of meshes

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      Author(s)
      Köse, Kıvanç
      Çetin, A. Enis
      Güdükbay, Uğur
      Onural, Levent
      Date
      2007-05
      Source Title
      Proceedings of 3DTV-CON, 2007
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
      Item 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 compression
      Connectivity-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
      Permalink
      http://hdl.handle.net/11693/26999
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/3DTV.2007.4379443
      Collections
      • Department of Computer Engineering 1435
      • Department of Electrical and Electronics Engineering 3702
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