Isosurface Extraction
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. Edge Groups : an approach to understanding the Mesh quality of Marching Methods
Marching Cubes is the most popular isosurface extraction algorithm due to its simplicity, efficiency and robustness. It has been widely studied, improved, and extended. While much early work was concerned with efficiency and correctness issues, lately there has been a push to improve the quality of Marching Cubes meshes so that they can be used in computatio
Publicado em: 2011
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2. Edge transformations for improving mesh quality of marching cubes
Marching Cubes is a popular choice for isosurface extraction from regular grids due to its simplicity, robustness, and efficiency. One of the key shortcomings of this approach is the quality of the resulting meshes, which tend to have many poorly shaped and degenerate triangles. This issue is often addressed through postprocessing operations such as smoothin
Publicado em: 2011
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3. Implicit methods for surface reconstruction from point clouds / Métodos implícitos para a reconstrução de superfícies a partir de nuvens de pontos
A reconstrução de superfícies a partir de nuvens de pontos faz parte de um novo paradigma de modelagem em que modelos computacionais para objetos reais são reconstruídos a partir de dados amostrados sobre a superfície dos mesmos. O principal problema que surge nesse contexto é o fato de que não são conhecidas relações de conectividade entre os pon
Publicado em: 2008
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4. MÉTODO DA OCLUSÃO IMPLÍCITA E SUAS APLICAÇÕES EM VISUALIZAÇÃO / MPLICIT OCCLUDER METHOD AND VISUALIZATION APPLICATIONS
In this work we apply the Implicit Occluders method for optimizing the computation and rendering of isosurfaces in regular volumetric data. Given a continuous scalar field f over a domain D and an isovalue w, Implicit Occluders exploits the continuity of f to determine visibility bounds without the need for computing the isosurface explicitly. We apply this
Publicado em: 2007
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5. Gradient vector flow and out-of-core image segmentaion by deformable models / Fluxo do Vetor Gradiente e Modelos Deformáveis Out-of-Core para Segmentação e Imagens
Main memory limitations can lower the performance of segmentation applications for large images or even make it undoable. In this work we integrate the T-Surfaces model and Out-of-Core isosurface generation methods in a general framework for segmentation of large image volumes. T-Surfaces is a parametric deformable model based on a triangulation of the image
Publicado em: 2006