Volume Graphics 2000
DOI: 10.1007/978-1-4471-0737-8_17
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Multi-Resolutional Parallel Isosurface Extraction based on Tetrahedral Bisection

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Cited by 26 publications
(29 citation statements)
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“…not uniformly) it can happen that the extracted isosurface contains holes (cracks) at transition zones where the mesh resolution changes. Different solutions have been devised for this problem, including remeshing [4,8], point insertion [20], filling, adaptive projection [17], and saturation of the error indicator [6,7].…”
Section: Related Workmentioning
confidence: 99%
“…not uniformly) it can happen that the extracted isosurface contains holes (cracks) at transition zones where the mesh resolution changes. Different solutions have been devised for this problem, including remeshing [4,8], point insertion [20], filling, adaptive projection [17], and saturation of the error indicator [6,7].…”
Section: Related Workmentioning
confidence: 99%
“…Nested tetrahedral meshes based on the Longest Edge Bisection (LEB) operation were originally introduced for domain decomposition in finite element analysis [20,23,34], and have since then been applied in many different contexts, including scientific computing [46,13,14], surface reconstruction [24] and volume segmentation [21]. A recent survey on nested simplicial meshes based on bisection can be found in [44].…”
Section: Multi-resolution Modelingmentioning
confidence: 99%
“…The LEB operation is defined by bisecting a tetrahedron t along the plane defined by the midpoint of its longest edge e and the two vertices of t not incident to e. The containment relation among the tetrahedra generated by successive LEB operations naturally defines a binary tree, where the two tetrahedra generated by bisecting a parent tetrahedron t are the children of t. When a full binary tree is stored, this representation can be efficiently encoded as a linear array, and the parent-child relation can be implicitly determined from the array indices [13,22,46]. A forest of six such tetrahedral binary trees, whose roots share a common cube diagonal can thus decompose a cubic region of space.…”
Section: Multi-resolution Modelingmentioning
confidence: 99%
“…For this problem, different solutions have been devised such as remeshing [8], point insertion [24], projection [19], blending [10], and saturation [5][6][7]32]. …”
Section: Related Workmentioning
confidence: 99%
“…η(T ) = η(x ref (T )), and choosing η(T ) < ε as a stopping criterion for some user specified threshold value ε. If the error indicator values are saturated [5][6][7]32], no hanging nodes can occur for all possible values of ε. This way, the extraction algorithm is completely local and information from neighboring tetrahedra is never required.…”
Section: Multiresolution Isosurface Extractionmentioning
confidence: 99%