3D model compression using image compression based methods

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buir.advisorÇetin, A. Enis
dc.contributor.authorKöse, Kıvanç
dc.date.accessioned2016-07-01T11:09:21Z
dc.date.available2016-07-01T11:09:21Z
dc.date.issued2007
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractA Connectivity-Guided AdaptiveWavelet Transform (CGAWT) based mesh compres- sion algorithm is proposed. On the contrary to previous work, the proposed method uses 2D image processing tools for compressing the mesh models. The 3D models are ¯rst transformed to 2D images on a regular grid structure by performing orthogonal projections onto the image plane. This operation is computationally simpler than pa- rameterization. The neighborhood concept in projection images is di®erent from 2D images because two connected vertex can be projected to isolated pixels. Connectiv- ity data of the 3D model de¯nes the interpixel correlations in the projection image. Thus the wavelet transforms used in image processing do not give good results on this representation. CGAWT is de¯ned to take advantage of interpixel correlations in the image-like representation. Using the proposed transform the pixels in the detail subbands are predicted from their connected neighbors in the low-pass subbands of the wavelet transform. The resulting wavelet data is encoded using either \Set Parti- tioning In Hierarchical Trees" (SPIHT) or JPEG2000. SPIHT approach is progressive because di®erent resolutions of the mesh can be reconstructed from di®erent partitions of SPIHT bitstream. On the other hand, JPEG2000 approach is a single rate coder. The quantization of the wavelet coe±cients determines the quality of the reconstructed model in JPEG2000 approach. Simulations using di®erent basis functions show that lazy wavelet basis gives better results. The results are improved using the CGAWT with lazy wavelet ¯lterbanks. SPIHT based algorithm is observed to be superior to JPEG2000 based mesh coder and MPEG-3DGC in rate-distortion.en_US
dc.description.provenanceMade available in DSpace on 2016-07-01T11:09:21Z (GMT). No. of bitstreams: 1 0003240.pdf: 22472888 bytes, checksum: 56d76b87fe205df776768d1b5596dd13 (MD5) Previous issue date: 2007en
dc.description.statementofresponsibilityKöse, Kıvançen_US
dc.format.extentxviii, 107 leaves, illustrations, tables, graphicsen_US
dc.identifier.itemidBILKUTUPB102004
dc.identifier.urihttp://hdl.handle.net/11693/29946
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject3D Model Compressionen_US
dc.subjectImage-like mesh representation,en_US
dc.subjectConnectivity- Guided Adaptive Wavelet Transformen_US
dc.subject.lccT385 .K67 2007en_US
dc.subject.lcshComputer graphics.en_US
dc.title3D model compression using image compression based methodsen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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