Geometric-textured bitree : transmission of a multiresolution terrain across the internet
Material type:
ArticleDescription: 1 archivo (170 KB)Subject(s): Online resources: Summary: Transmission of large terrain databases across the Internet is still worrying. A large terrain database requires a big number of polygons and textures, and that represents a problem with current bandwidth and resource limitations. Multiresolution models permit progressive transmission, that is the transmission of a simple model followed by successive refinements. In this work we present a new multiresolution model called Geometric-Textured Bitree. In contrast with most of recent works, it makes possible the progressive transmission of not only geometry but also the texture of a terrain model. Wavelet Multiresolution Analysis is applied to the selection of geometry points and, texture segmentation. Also a new texture synthesis process based on Wavelet classification is presented.
| Item type | Home library | Collection | Call number | URL | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Capítulo de libro
|
Biblioteca de la Facultad de Informática | Biblioteca digital | A0598 (Browse shelf(Opens below)) | Link to resource | No corresponde |
Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
Transmission of large terrain databases across the Internet is still worrying. A large terrain database requires a big number of polygons and textures, and that represents a problem with current bandwidth and resource limitations. Multiresolution models permit progressive transmission, that is the transmission of a simple model followed by successive refinements. In this work we present a new multiresolution model called Geometric-Textured Bitree. In contrast with most of recent works, it makes possible the progressive transmission of not only geometry but also the texture of a terrain model. Wavelet Multiresolution Analysis is applied to the selection of geometry points and, texture segmentation. Also a new texture synthesis process based on Wavelet classification is presented.
Journal of Computer Science & Technology, 2(7), pp. 34-41