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Medial Axis Transform Using Ridge Following
Missouri University of Science and Technology Scholars' Mine Computer Science Technical Reports Computer Science 01 Aug 1987 Medial Axis Transform using Ridge Following Richard Mark Volkmann Daniel C. St. Clair Missouri University of Science and Technology Follow this and additional works at: https://scholarsmine.mst.edu/comsci_techreports Part of the Computer Sciences Commons Recommended Citation Volkmann, Richard Mark and St. Clair, Daniel C., "Medial Axis Transform using Ridge Following" (1987). Computer Science Technical Reports. 80. https://scholarsmine.mst.edu/comsci_techreports/80 This Technical Report is brought to you for free and open access by Scholars' Mine. It has been accepted for inclusion in Computer Science Technical Reports by an authorized administrator of Scholars' Mine. This work is protected by U. S. Copyright Law. Unauthorized use including reproduction for redistribution requires the permission of the copyright holder. For more information, please contact [email protected]. MEDIAL AXIS TRANSFORM USING RIDGE FOLLOWING R. M. Volkmann* and D. C. St. Clair CSc 87-17 *This report is substantially the M.S. thesis of the first author, completed, August 1987 Page iii ABSTRACT The intent of this investigation has been to find a robust algorithm for generation of the medial axis transform (MAT). The MAT is an invertible, object centered, shape representation defined as the collection of the centers of disks contained in the shape but not in any other such disk. Its uses include feature extraction, shape smoothing, and data compression. MAT generating algorithms include brushfire, Voronoi diagrams, and ridge following. An improved implementation of the ridge following algorithm is given. Orders of the MAT generating algorithms are compared. -
Computing 2D Periodic Centroidal Voronoi Tessellation Dong-Ming Yan, Kai Wang, Bruno Lévy, Laurent Alonso
Computing 2D Periodic Centroidal Voronoi Tessellation Dong-Ming Yan, Kai Wang, Bruno Lévy, Laurent Alonso To cite this version: Dong-Ming Yan, Kai Wang, Bruno Lévy, Laurent Alonso. Computing 2D Periodic Centroidal Voronoi Tessellation. 8th International Symposium on Voronoi Diagrams in Science and Engineering - ISVD2011, Jun 2011, Qingdao, China. 10.1109/ISVD.2011.31. inria-00605927 HAL Id: inria-00605927 https://hal.inria.fr/inria-00605927 Submitted on 5 Jul 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Computing 2D Periodic Centroidal Voronoi Tessellation Dong-Ming Yan Kai Wang Bruno Levy´ Laurent Alonso Project ALICE, INRIA Project ALICE, INRIA Project ALICE, INRIA Project ALICE, INRIA Nancy, France / Gipsa-lab, CNRS Nancy, France Nancy, France [email protected] Grenoble, France [email protected] [email protected] [email protected] Abstract—In this paper, we propose an efficient algorithm to compute the centroidal Voronoi tessellation in 2D periodic space. We first present a simple algorithm for constructing the periodic Voronoi diagram (PVD) from a Euclidean Voronoi diagram. The presented PVD algorithm considers only a small set of periodic copies of the input sites, which is more efficient than previous approaches requiring full copies of the sites (9 in 2D and 27 in 3D). -
JMM 2017 Student Poster Session Abstract Book
Abstracts for the MAA Undergraduate Poster Session Atlanta, GA January 6, 2017 Organized by Eric Ruggieri College of the Holy Cross and Chasen Smith Georgia Southern University Organized by the MAA Committee on Undergraduate Student Activities and Chapters and CUPM Subcommittee on Research by Undergraduates Dear Students, Advisors, Judges and Colleagues, If you look around today you will see over 300 posters and nearly 500 student presenters, representing a wide array of mathematical topics and ideas. These posters showcase the vibrant research being conducted as part of summer programs and during the academic year at colleges and universities from across the United States and beyond. It is so rewarding to see this session, which offers such a great opportunity for interaction between students and professional mathematicians, continue to grow. The judges you see here today are professional mathematicians from institutions around the world. They are advisors, colleagues, new Ph.D.s, and administrators. We have acknowledged many of them in this booklet; however, many judges here volunteered on site. Their support is vital to the success of the session and we thank them. We are supported financially by Tudor Investments and Two Sigma. We are also helped by the mem- bers of the Committee on Undergraduate Student Activities and Chapters (CUSAC) in some way or other. They are: Dora C. Ahmadi; Jennifer Bergner; Benjamin Galluzzo; Kristina Cole Garrett; TJ Hitchman; Cynthia Huffman; Aihua Li; Sara Louise Malec; Lisa Marano; May Mei; Stacy Ann Muir; Andy Nieder- maier; Pamela A. Richardson; Jennifer Schaefer; Peri Shereen; Eve Torrence; Violetta Vasilevska; Gerard A. -
Geometric Algorithms for Optimal Airspace Design and Air Traffic
Geometric Algorithms for Optimal Airspace Design and Air Traffic Controller Workload Balancing AMITABH BASU Carnegie Mellon University JOSEPH S. B. MITCHELL Stony Brook University and GIRISHKUMAR SABHNANI Stony Brook University The National Airspace System (NAS) is designed to accommodate a large number of flights over North America. For purposes of workload limitations for air traffic controllers, the airspace is partitioned into approximately 600 sectors; each sector is observed by one or more controllers. In order to satisfy workload limitations for controllers, it is important that sectors be designed carefully according to the traffic patterns of flights, so that no sector becomes overloaded. We formulate and study the airspace sectorization problem from an algorithmic point of view, model- ing the problem of optimal sectorization as a geometric partition problem with constraints. The novelty of the problem is that it partitions data consisting of trajectories of moving points, rather than static point set partitioning that is commonly studied. First, we formulate and solve the 1D version of the problem, showing how to partition a line into “sectors” (intervals) according to historical trajectory data. Then, we apply the 1D solution framework to design a 2D sectoriza- tion heuristic based on binary space partitions. We also devise partitions based on balanced “pie partitions” of a convex polygon. We evaluate our 2D algorithms experimentally, applying our algorithms to actual historical flight track data for the NAS. We compare the workload balance of our methods to that of the existing set of sectors for the NAS and find that our resectorization yields competitive and improved workload balancing. -
Coloring Copoints of a Planar Point Set
Coloring Copoints of a Planar Point Set Walter Morris Department of Mathematical Sciences George Mason University 4400 University Drive, Fairfax, VA 22030, USA Abstract To a set of n points in the plane, one can associate a graph that has less than n2 vertices and has the property that k-cliques in the graph correspond vertex sets of convex k-gons in the point set. We prove an upper bound of 2k¡1 on the size of a planar point set for which the graph has chromatic number k, matching the bound con- jectured by Szekeres for the clique number. Constructions of Erd}os and Szekeres are shown to yield graphs that have very low chromatic number. The constructions are carried out in the context of pseudoline arrangements. 1 Introduction Let X be a ¯nite set of points in IR2. We will assume that X is in general position, that is, no three points of X are on a line. A subset C of X is called closed if C = K \ X for some convex subset K of IR2. The set C of closed subsets of X, partially ordered by inclusion, is a lattice. If x 2 X and A is a closed subset of X that does not contain x and is inclusion-maximal among all closed subsets of X that do not contain x, then A is called a copoint of X attached to x. In the more general context of antimatroids, or convex geometries, co- points have been studied in [1], [2] and [3]. It is shown in these references that every copoint is attached to a unique point of X, and that the copoints are the meet-irreducible elements of the lattice of closed sets. -
Voronoi Diagrams--A Survey of a Fundamental Geometric Data Structure
Voronoi Diagrams — A Survey of a Fundamental Geometric Data Structure FRANZ AURENHAMMER Institute fur Informationsverarbeitung Technische Universitat Graz, Sch iet!stattgasse 4a, Austria This paper presents a survey of the Voronoi diagram, one of the most fundamental data structures in computational geometry. It demonstrates the importance and usefulness of the Voronoi diagram in a wide variety of fields inside and outside computer science and surveys the history of its development. The paper puts particular emphasis on the unified exposition of its mathematical and algorithmic properties. Finally, the paper provides the first comprehensive bibliography on Voronoi diagrams and related structures. Categories and Subject Descriptors: F.2.2 [Analysis of Algorithms and Problem Complexity]: Nonnumerical Algorithms and Problems–geometrical problems and computations; G. 2.1 [Discrete Mathematics]: Combinatorics— combinatorial algorithms; I. 3.5 [Computer Graphics]: Computational Geometry and Object Modeling—geometric algorithms, languages, and systems General Terms: Algorithms, Theory Additional Key Words and Phrases: Cell complex, clustering, combinatorial complexity, convex hull, crystal structure, divide-and-conquer, geometric data structure, growth model, higher dimensional embedding, hyperplane arrangement, k-set, motion planning, neighbor searching, object modeling, plane-sweep, proximity, randomized insertion, spanning tree, triangulation INTRODUCTION [19841 and to the textbooks by Preparata and Shames [1985] and Edelsbrunner Computational geometry is concerned [1987bl.) with the design and analysis of algo- Readers familiar with the literature of rithms for geometrical problems. In add- computational geometry will have no- ition, other more practically oriented, ticed, especially in the last few years, an areas of computer science— such as com- increasing interest in a geometrical con- puter graphics, computer-aided design, struct called the Voronoi diagram. -
30 ARRANGEMENTS Dan Halperin and Micha Sharir
30 ARRANGEMENTS Dan Halperin and Micha Sharir INTRODUCTION Given a finite collection of geometric objects such as hyperplanes or spheres in Rd, the arrangement ( S) is the decomposition of Rd into connected open cells of dimensions 0, 1,...,d AinducedS by . Besides being interesting in their own right, ar- rangements of hyperplanes have servedS as a unifying structure for many problems in discrete and computational geometry. With the recent advances in the study of arrangements of curved (algebraic) surfaces, arrangements have emerged as the underlying structure of geometric problems in a variety of “physical world” applica- tion domains such as robot motion planning and computer vision. This chapter is devoted to arrangements of hyperplanes and of curved surfaces in low-dimensional Euclidean space, with an emphasis on combinatorics and algorithms. In the first section we introduce basic terminology and combinatorics of ar- rangements. In Section 30.2 we describe substructures in arrangements and their combinatorial complexity. Section 30.3 deals with data structures for representing arrangements and with special refinements of arrangements. The following two sections focus on algorithms: algorithms for constructing full arrangements are described in Section 30.4, and algorithms for constructing substructures in Sec- tion 30.5. In Section 30.6 we discuss the relation between arrangements and other structures. Several applications of arrangements are reviewed in Section 30.7. Sec- tion 30.8 deals with robustness issues when implementing algorithms and data structures for arrangements and Section 30.9 surveys software implementations. We conclude in Section 30.10 with a brief review of Davenport-Schinzel sequences, a combinatorial structure that plays an important role in the analysis of arrange- ments. -
Arrangements of Approaching Pseudo-Lines
Arrangements of Approaching Pseudo-Lines Stefan Felsner∗1, Alexander Pilzy2, and Patrick Schnider3 1Institut f¨urMathematik, Technische Universit¨atBerlin, [email protected] 2Institute of SoftwareTechnology, Graz University of Technology, Austria, [email protected] 3Department of Computer Science, ETH Z¨urich, Switzerland, [email protected] January 24, 2020 Abstract We consider arrangements of n pseudo-lines in the Euclidean plane where each pseudo-line `i is represented by a bi-infinite connected x-monotone curve fi(x), x 2 R, s.t. for any two pseudo-lines `i and `j with i < j, the function x 7! fj (x) − fi(x) is monotonically decreasing and surjective (i.e., the pseudo-lines approach each other until they cross, and then move away from each other). We show that such arrangements of approaching pseudo-lines, under some aspects, behave similar to arrangements of lines, while for other aspects, they share the freedom of general pseudo-line arrangements. For the former, we prove: • There are arrangements of pseudo-lines that are not realizable with approaching pseudo-lines. • Every arrangement of approaching pseudo-lines has a dual generalized configura- tion of points with an underlying arrangement of approaching pseudo-lines. For the latter, we show: 2 • There are 2Θ(n ) isomorphism classes of arrangements of approaching pseudo-lines (while there are only 2Θ(n log n) isomorphism classes of line arrangements). • It can be decided in polynomial time whether an allowable sequence is realizable by an arrangement of approaching pseudo-lines. Furthermore, arrangements of approaching pseudo-lines can be transformed into each arXiv:2001.08419v1 [cs.CG] 23 Jan 2020 other by flipping triangular cells, i.e., they have a connected flip graph, and every bichromatic arrangement of this type contains a bichromatic triangular cell. -
Electronic Reprint a Coloring-Book Approach to Finding Coordination
electronic reprint ISSN: 2053-2733 journals.iucr.org/a A coloring-book approach to finding coordination sequences C. Goodman-Strauss and N. J. A. Sloane Acta Cryst. (2019). A75, 121–134 IUCr Journals CRYSTALLOGRAPHY JOURNALS ONLINE Copyright c International Union of Crystallography Author(s) of this paper may load this reprint on their own web site or institutional repository provided that this cover page is retained. Republication of this article or its storage in electronic databases other than as specified above is not permitted without prior permission in writing from the IUCr. For further information see http://journals.iucr.org/services/authorrights.html Acta Cryst. (2019). A75, 121–134 Goodman-Strauss and Sloane · Finding coordination sequences research papers A coloring-book approach to finding coordination sequences ISSN 2053-2733 C. Goodman-Straussa and N. J. A. Sloaneb* aDepartment of Mathematical Sciences, University of Arkansas, Fayetteville, AR 72701, USA, and bThe OEIS Foundation Inc., 11 So. Adelaide Ave., Highland Park, NJ 08904, USA. *Correspondence e-mail: [email protected] Received 30 May 2018 Accepted 14 October 2018 An elementary method is described for finding the coordination sequences for a tiling, based on coloring the underlying graph. The first application is to the two kinds of vertices (tetravalent and trivalent) in the Cairo (or dual-32.4.3.4) tiling. Edited by J.-G. Eon, Universidade Federal do Rio The coordination sequence for a tetravalent vertex turns out, surprisingly, to be de Janeiro, Brazil 1, 4, 8, 12, 16, ..., the same as for a vertex in the familiar square (or 44) tiling. -
ICES REPORT 14-22 Characterization, Enumeration and Construction Of
ICES REPORT 14-22 August 2014 Characterization, Enumeration and Construction of Almost-regular Polyhedra by Muhibur Rasheed and Chandrajit Bajaj The Institute for Computational Engineering and Sciences The University of Texas at Austin Austin, Texas 78712 Reference: Muhibur Rasheed and Chandrajit Bajaj, "Characterization, Enumeration and Construction of Almost-regular Polyhedra," ICES REPORT 14-22, The Institute for Computational Engineering and Sciences, The University of Texas at Austin, August 2014. Characterization, Enumeration and Construction of Almost-regular Polyhedra Muhibur Rasheed and Chandrajit Bajaj Center for Computational Visualization Institute of Computational Engineering and Sciences The University of Texas at Austin Austin, Texas, USA Abstract The symmetries and properties of the 5 known regular polyhedra are well studied. These polyhedra have the highest order of 3D symmetries, making them exceptionally attractive tem- plates for (self)-assembly using minimal types of building blocks, from nanocages and virus capsids to large scale constructions like glass domes. However, the 5 polyhedra only represent a small number of possible spherical layouts which can serve as templates for symmetric assembly. In this paper, we formalize the notion of symmetric assembly, specifically for the case when only one type of building block is used, and characterize the properties of the corresponding layouts. We show that such layouts can be generated by extending the 5 regular polyhedra in a sym- metry preserving way. The resulting family remains isotoxal and isohedral, but not isogonal; hence creating a new class outside of the well-studied regular, semi-regular and quasi-regular classes and their duals Catalan solids and Johnson solids. We also show that this new family, dubbed almost-regular polyhedra, can be parameterized using only two variables and constructed efficiently. -
Simple Rules for Incorporating Design Art Into Penrose and Fractal Tiles
Bridges 2012: Mathematics, Music, Art, Architecture, Culture Simple Rules for Incorporating Design Art into Penrose and Fractal Tiles San Le SLFFEA.com [email protected] Abstract Incorporating designs into the tiles that form tessellations presents an interesting challenge for artists. Creating a viable M.C. Escher-like image that works esthetically as well as functionally requires resolving incongruencies at a tile’s edge while constrained by its shape. Escher was the most well known practitioner in this style of mathematical visualization, but there are significant mathematical objects to which he never applied his artistry including Penrose Tilings and fractals. In this paper, we show that the rules of creating a traditional tile extend to these objects as well. To illustrate the versatility of tiling art, images were created with multiple figures and negative space leading to patterns distinct from the work of others. 1 1 Introduction M.C. Escher was the most prominent artist working with tessellations and space filling. Forty years after his death, his creations are still foremost in people’s minds in the field of tiling art. One of the reasons Escher continues to hold such a monopoly in this specialty are the unique challenges that come with creating Escher type designs inside a tessellation[15]. When an image is drawn into a tile and extends to the tile’s edge, it introduces incongruencies which are resolved by continuously aligning and refining the image. This is particularly true when the image consists of the lizards, fish, angels, etc. which populated Escher’s tilings because they do not have the 4-fold rotational symmetry that would make it possible to arbitrarily rotate the image ± 90, 180 degrees and have all the pieces fit[9]. -
Fundamental Principles Governing the Patterning of Polyhedra
FUNDAMENTAL PRINCIPLES GOVERNING THE PATTERNING OF POLYHEDRA B.G. Thomas and M.A. Hann School of Design, University of Leeds, Leeds LS2 9JT, UK. [email protected] ABSTRACT: This paper is concerned with the regular patterning (or tiling) of the five regular polyhedra (known as the Platonic solids). The symmetries of the seventeen classes of regularly repeating patterns are considered, and those pattern classes that are capable of tiling each solid are identified. Based largely on considering the symmetry characteristics of both the pattern and the solid, a first step is made towards generating a series of rules governing the regular tiling of three-dimensional objects. Key words: symmetry, tilings, polyhedra 1. INTRODUCTION A polyhedron has been defined by Coxeter as “a finite, connected set of plane polygons, such that every side of each polygon belongs also to just one other polygon, with the provision that the polygons surrounding each vertex form a single circuit” (Coxeter, 1948, p.4). The polygons that join to form polyhedra are called faces, 1 these faces meet at edges, and edges come together at vertices. The polyhedron forms a single closed surface, dissecting space into two regions, the interior, which is finite, and the exterior that is infinite (Coxeter, 1948, p.5). The regularity of polyhedra involves regular faces, equally surrounded vertices and equal solid angles (Coxeter, 1948, p.16). Under these conditions, there are nine regular polyhedra, five being the convex Platonic solids and four being the concave Kepler-Poinsot solids. The term regular polyhedron is often used to refer only to the Platonic solids (Cromwell, 1997, p.53).