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|Title: ||Compact 3D Representations|
|Authors: ||Inoue, JIRO|
|Keywords: ||3D data|
|Issue Date: ||18-Jul-2012|
|Series/Report no.: ||Canadian theses|
|Abstract: ||The need to compactly represent 3D data is motivated by the ever-increasing size
of these data. Furthermore, for large data sets it is useful to randomly access and
process a small part of the data. In this thesis we propose two methods of compactly
representing 3D data while allowing random access.
The first is the multiresolution sphere-packing tree (MSP-tree). The MSP-tree is a
multiresolution 3D hierarchy on regular grids based on sphere-packing arrangements.
The grids of the MSP-tree compactly represent underlying point-sampled data by
using more efficient grids than existing methods while maintaining high granularity
and a hierarchical structure that allows random access.
The second is distance-ranked random-accessible mesh compression (DR-RAMC).
DR-RAMC is a lossless simplicial mesh compressor that allows random access and
decompression of the mesh data based on a spatial region-of-interest. DR-RAMC encodes
connectivity based on relative proximity of vertices to each other and organizes
both this proximity data and vertex coordinates using a k-d tree. DR-RAMC is insensitive
to a variety of topological mesh problems (e.g. holes, handles, non-orientability)
and can compress simplicial meshes of any dimension embedded in spaces of any dimension.
Testing of DR-RAMC shows competitive compression rates for triangle
meshes and first-ever random accessible compression rates for tetrahedral meshes.|
|Description: ||Thesis (Ph.D, Computing) -- Queen's University, 2012-07-17 15:28:39.406|
|Appears in Collections:||Computing Graduate Theses|
Queen's Theses & Dissertations
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