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Includes bibliographical references.
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2016
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| _version_ | 1867613334623223808 |
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| access_status_str | Open Access |
| author | Haley, Michael Blake |
| author2 | Blake, Edwin H |
| author_browse | Blake, Edwin H Haley, Michael Blake |
| author_facet | Blake, Edwin H Haley, Michael Blake |
| author_sort | Haley, Michael Blake |
| collection | Thesis |
| description | Includes bibliographical references. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/16140 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:28.941Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Department of Computer Science |
| publisherStr | Department of Computer Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/16140 Incremental volume rendering using hierarchical compression Haley, Michael Blake Blake, Edwin H Computer Science Includes bibliographical references. The research has been based on the thesis that efficient volume rendering of datasets, contained on the Internet, can be achieved on average personal workstations. We present a new algorithm here for efficient incremental rendering of volumetric datasets. The primary goal of this algorithm is to give average workstations the ability to efficiently render volume data received over relatively low bandwidth network links in such a way that rapid user feedback is maintained. Common limitations of workstation rendering of volume data include: large memory overheads, the requirement of expensive rendering hardware, and high speed processing ability. The rendering algorithm presented here overcomes these problems by making use of the efficient Shear-Warp Factorisation method which does not require specialised graphics hardware. However the original Shear-Warp algorithm suffers from a high memory overhead and does not provide for incremental rendering which is required should rapid user feedback be maintained. Our algorithm represents the volumetric data using a hierarchical data structure which provides for the incremental classification and rendering of volume data. This exploits the multiscale nature of the octree data structure. The algorithm reduces the memory footprint of the original Shear-Warp Factorisation algorithm by a factor of more than two, while maintaining good rendering performance. These factors make our octree algorithm more suitable for implementation on average desktop workstations for the purposes of interactive exploration of volume models over a network. This dissertation covers the theory and practice of developing the octree based Shear-Warp algorithms, and then presents the results of extensive empirical testing. The results, using typical volume datasets, demonstrate the ability of the algorithm to achieve high rendering rates for both incremental rendering and standard rendering while reducing the runtime memory requirements. 2016-01-02T04:52:35Z 2016-01-02T04:52:35Z 1996 Master Thesis Masters MSc http://hdl.handle.net/11427/16140 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town |
| spellingShingle | Computer Science Haley, Michael Blake Incremental volume rendering using hierarchical compression |
| thesis_degree_str | Master's |
| title | Incremental volume rendering using hierarchical compression |
| title_full | Incremental volume rendering using hierarchical compression |
| title_fullStr | Incremental volume rendering using hierarchical compression |
| title_full_unstemmed | Incremental volume rendering using hierarchical compression |
| title_short | Incremental volume rendering using hierarchical compression |
| title_sort | incremental volume rendering using hierarchical compression |
| topic | Computer Science |
| url | http://hdl.handle.net/11427/16140 |
| work_keys_str_mv | AT haleymichaelblake incrementalvolumerenderingusinghierarchicalcompression |