Adaptive Extended Marching Cubes
نویسندگان
چکیده
The demands related to Volumetric Models are increasing rapidly due to the availability of 3D scanner, but its application in the manipulation of volumetric data raises several issues that need to be addressed. The fundamental of manipulating volumetric data includes isosurface extraction, while sharp features of 3D models are well preserved with Extended Marching Cubes algorithm (EMC). However, the resulting isosurfaces will be huge in contrast to adaptive resolution. An adaptive resolution improvement to EMC is proposed to let different resolutions coexist at different locations to meet different requirements. In addition, due to correlated nature of adjacent cubes, isosurface extracting using standard error minimization methods needs to take special considerations while resolution goes adaptive. A performance driven method and guidelines are suggested in this paper. Furthermore, progressive transmission is easy to achieve by using the adaptive octree.
منابع مشابه
Quality Isosurface Mesh Generation Using an Extended Marching Cubes Lookup Table
The Marching Cubes Algorithm may return degenerate, zero area isosurface triangles, and often returns isosurface triangles with small areas, edges or angles. We show how to avoid both problems using an extended Marching Cubes lookup table. As opposed to the conventional Marching Cubes lookup table, the extended lookup table differentiates scalar values equal to the isovalue from scalar values g...
متن کاملAdaptive cube tessellation for topologically correct isosurfaces
Three dimensional datasets representing scalar fields are frequently rendered using isosurfaces. For datasets arranged as a cubic lattice, the marching cubes algorithm is the most used isosurface extraction method. However, the marching cubes algorithm produces some ambiguities which have been solved using different approaches that normally imply a more complex process. One of them is to tessel...
متن کاملCubical Marching Squares: Adaptive Feature Preserving Surface Extraction from Volume Data
In this paper, we present a new method for surface extraction from volume data which preserves sharp features, maintains consistent topology and generates surface adaptively without crack patching. Our approach is based on the marching cubes algorithm, a popular method to convert volumetric data to polygonal meshes. The original marching cubes algorithm suffers from problems of topological inco...
متن کاملIntegration of Multiple Range and Intensity Image Pairs Using a Volumetric Method to Create Textured 3D Models
The reconstruction of highly detailed, 3D object models is a major goal of current research. Such models can be used in machine vision applications as well as for visualization purposes. The method presented here assumes that there are multiple range and intensity image pairs of an object, all registered to a global coordinate system. The individual range images are then used to create a surfac...
متن کاملAdaptive Multiresolution and Quality 3D Meshing from Imaging Data
This paper presents an algorithm to extract adaptive and quality 3D meshes directly from volumetric imaging data primarily Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). The extracted tetrahedral and hexahedral meshes are extensively used in the Finite Element Method (FEM). Our comprehensive approach combines bilateral and anisotropic (feature specific) diffusion filtering, with...
متن کامل