Multiresolution Modeling Using Fractal Image Compression Techniques

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dc.contributor.authorBelmonte, Óscaren_US
dc.contributor.authorSancho, Sergioen_US
dc.contributor.authorRibelles, Joséen_US
dc.contributor.editorJohn Collomosse and Ian Grimsteaden_US
dc.date.accessioned2014-01-31T20:11:53Z
dc.date.available2014-01-31T20:11:53Z
dc.date.issued2010en_US
dc.description.abstractThis work presents a new approach to the multiresolution modeling of polygonal meshes. This approach is based on the theoretically well-established fractal image compression techniques. A polygonal mesh is represented as a fractal using an iterated function system (IFS). In this way, a level of detail can be obtained over a region of the mesh by successively iterating the IFS. The main advantage is that it becomes possible to recover new levels of detail that were not present in the original mesh, so that the quality is not lost as the observer approaches the mesh. Another characteristic is that the same representation can be used over textures, and in this case the algorithm is directly implemented over the GPU. The visualization time obtained allows this new approach to be used in real-time interactive computer graphic applications.en_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-75-3en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG10/051-058en_US
dc.publisherThe Eurographics Associationen_US
dc.titleMultiresolution Modeling Using Fractal Image Compression Techniquesen_US
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