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      • Department of Electrical and Electronics Engineering
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      3D model compression using connectivity-guided adaptive wavelet transform built into 2D SPIHT

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      Author(s)
      Köse K.
      Çetin, A. Enis
      Güdükbay, Uğur
      Onural, L.
      Date
      2010-01
      Source Title
      Journal of Visual Communication and Image Representation
      Print ISSN
      1047-3203
      Publisher
      Academic Press
      Volume
      21
      Issue
      1
      Pages
      17 - 28
      Language
      English
      Type
      Article
      Item Usage Stats
      246
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      288
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      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.
      Keywords
      Adaptive wavelet transform
      Connectivity coding
      Image compression
      Mesh compression
      Progressive mesh representation
      Projection
      Spiht
      Static mesh
      Permalink
      http://hdl.handle.net/11693/11769
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.jvcir.2009.09.007
      Collections
      • Department of Computer Engineering 1561
      • Department of Electrical and Electronics Engineering 4011
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