3D model compression using image compression based methods
buir.advisor | Çetin, A. Enis | |
dc.contributor.author | Köse, Kıvanç | |
dc.date.accessioned | 2016-07-01T11:09:21Z | |
dc.date.available | 2016-07-01T11:09:21Z | |
dc.date.issued | 2007 | |
dc.description | Cataloged from PDF version of article. | en_US |
dc.description.abstract | A 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.provenance | Made available in DSpace on 2016-07-01T11:09:21Z (GMT). No. of bitstreams: 1 0003240.pdf: 22472888 bytes, checksum: 56d76b87fe205df776768d1b5596dd13 (MD5) Previous issue date: 2007 | en |
dc.description.statementofresponsibility | Köse, Kıvanç | en_US |
dc.format.extent | xviii, 107 leaves, illustrations, tables, graphics | en_US |
dc.identifier.itemid | BILKUTUPB102004 | |
dc.identifier.uri | http://hdl.handle.net/11693/29946 | |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | 3D Model Compression | en_US |
dc.subject | Image-like mesh representation, | en_US |
dc.subject | Connectivity- Guided Adaptive Wavelet Transform | en_US |
dc.subject.lcc | T385 .K67 2007 | en_US |
dc.subject.lcsh | Computer graphics. | en_US |
dc.title | 3D model compression using image compression based methods | en_US |
dc.type | Thesis | en_US |
thesis.degree.discipline | Electrical and Electronic Engineering | |
thesis.degree.grantor | Bilkent University | |
thesis.degree.level | Master's | |
thesis.degree.name | MS (Master of Science) |
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