Köse, KıvançÇetin, A. EnisGüdükbay, UğurOnural, Levent2016-02-082016-02-082007-05http://hdl.handle.net/11693/26999Date of Conference: 7-9 May 2007Conference name: 2007 3DTV ConferenceWe 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.English3D model compressionConnectivity-guided adaptive wavelet transformImage-like mesh representationDigital image storageDigital televisionMotion Picture Experts Group standardsObject recognitionTelevision broadcastingTrees (mathematics)Wavelet transforms2d images3D meshes3D model compressionAdaptive predictorsConnectivity informationsData streamsImage planesJpeg2000Mesh compressionsMesh verticesOrthogonal projectionsRate distortionsRegular gridsWavelet domainsThree dimensionalConference Paper10.1109/3DTV.2007.4379443