5,127 research outputs found

    BSP-fields: An Exact Representation of Polygonal Objects by Differentiable Scalar Fields Based on Binary Space Partitioning

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    The problem considered in this work is to find a dimension independent algorithm for the generation of signed scalar fields exactly representing polygonal objects and satisfying the following requirements: the defining real function takes zero value exactly at the polygonal object boundary; no extra zero-value isosurfaces should be generated; C1 continuity of the function in the entire domain. The proposed algorithms are based on the binary space partitioning (BSP) of the object by the planes passing through the polygonal faces and are independent of the object genus, the number of disjoint components, and holes in the initial polygonal mesh. Several extensions to the basic algorithm are proposed to satisfy the selected optimization criteria. The generated BSP-fields allow for applying techniques of the function-based modeling to already existing legacy objects from CAD and computer animation areas, which is illustrated by several examples

    Distance-Sensitive Planar Point Location

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    Let S\mathcal{S} be a connected planar polygonal subdivision with nn edges that we want to preprocess for point-location queries, and where we are given the probability γi\gamma_i that the query point lies in a polygon PiP_i of S\mathcal{S}. We show how to preprocess S\mathcal{S} such that the query time for a point~pPip\in P_i depends on~γi\gamma_i and, in addition, on the distance from pp to the boundary of~PiP_i---the further away from the boundary, the faster the query. More precisely, we show that a point-location query can be answered in time O(min(logn,1+logarea(Pi)γiΔp2))O\left(\min \left(\log n, 1 + \log \frac{\mathrm{area}(P_i)}{\gamma_i \Delta_{p}^2}\right)\right), where Δp\Delta_{p} is the shortest Euclidean distance of the query point~pp to the boundary of PiP_i. Our structure uses O(n)O(n) space and O(nlogn)O(n \log n) preprocessing time. It is based on a decomposition of the regions of S\mathcal{S} into convex quadrilaterals and triangles with the following property: for any point pPip\in P_i, the quadrilateral or triangle containing~pp has area Ω(Δp2)\Omega(\Delta_{p}^2). For the special case where S\mathcal{S} is a subdivision of the unit square and γi=area(Pi)\gamma_i=\mathrm{area}(P_i), we present a simpler solution that achieves a query time of O(min(logn,log1Δp2))O\left(\min \left(\log n, \log \frac{1}{\Delta_{p}^2}\right)\right). The latter solution can be extended to convex subdivisions in three dimensions

    Computational Geometry Column 42

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    A compendium of thirty previously published open problems in computational geometry is presented.Comment: 7 pages; 72 reference

    Freeform User Interfaces for Graphical Computing

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    報告番号: 甲15222 ; 学位授与年月日: 2000-03-29 ; 学位の種別: 課程博士 ; 学位の種類: 博士(工学) ; 学位記番号: 博工第4717号 ; 研究科・専攻: 工学系研究科情報工学専

    Approximation Schemes for Partitioning: Convex Decomposition and Surface Approximation

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    We revisit two NP-hard geometric partitioning problems - convex decomposition and surface approximation. Building on recent developments in geometric separators, we present quasi-polynomial time algorithms for these problems with improved approximation guarantees.Comment: 21 pages, 6 figure
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