Embeddings of Polytopes and Polyhedral Complexes
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Hardware Support for Non-Photorealistic Rendering
Hardware Support for Non-photorealistic Rendering Ramesh Raskar MERL, Mitsubishi Electric Research Labs (ii) Abstract (i) Special features such as ridges, valleys and silhouettes, of a polygonal scene are usually displayed by explicitly identifying and then rendering ‘edges’ for the corresponding geometry. The candidate edges are identified using the connectivity information, which requires preprocessing of the data. We present a non- obvious but surprisingly simple to implement technique to render such features without connectivity information or preprocessing. (iii) (iv) At the hardware level, based only on the vertices of a given flat polygon, we introduce new polygons, with appropriate color, shape and orientation, so that they eventually appear as special features. 1 INTRODUCTION Figure 1: (i) Silhouettes, (ii) ridges, (iii) valleys and (iv) their combination for a polygonal 3D model rendered by processing Sharp features convey a great deal of information with very few one polygon at a time. strokes. Technical illustrations, engineering CAD diagrams as well as non-photo-realistic rendering techniques exploit these features to enhance the appearance of the underlying graphics usually not supported by rendering APIs or hardware. The models. The most commonly used features are silhouettes, creases rendering hardware is typically more suited to working on a small and intersections. For polygonal meshes, the silhouette edges amount of data at a time. For example, most pipelines accept just consists of visible segments of all edges that connect back-facing a sequence of triangles (or triangle soups) and all the information polygons to front-facing polygons. A crease edge is a ridge if the necessary for rendering is contained in the individual triangles. -
Applying the Polygon Angle
POLYGONS 8.1.1 – 8.1.5 After studying triangles and quadrilaterals, students now extend their study to all polygons. A polygon is a closed, two-dimensional figure made of three or more non- intersecting straight line segments connected end-to-end. Using the fact that the sum of the measures of the angles in a triangle is 180°, students learn a method to determine the sum of the measures of the interior angles of any polygon. Next they explore the sum of the measures of the exterior angles of a polygon. Finally they use the information about the angles of polygons along with their Triangle Toolkits to find the areas of regular polygons. See the Math Notes boxes in Lessons 8.1.1, 8.1.5, and 8.3.1. Example 1 4x + 7 3x + 1 x + 1 The figure at right is a hexagon. What is the sum of the measures of the interior angles of a hexagon? Explain how you know. Then write an equation and solve for x. 2x 3x – 5 5x – 4 One way to find the sum of the interior angles of the 9 hexagon is to divide the figure into triangles. There are 11 several different ways to do this, but keep in mind that we 8 are trying to add the interior angles at the vertices. One 6 12 way to divide the hexagon into triangles is to draw in all of 10 the diagonals from a single vertex, as shown at right. 7 Doing this forms four triangles, each with angle measures 5 4 3 1 summing to 180°. -
A Congruence Problem for Polyhedra
A congruence problem for polyhedra Alexander Borisov, Mark Dickinson, Stuart Hastings April 18, 2007 Abstract It is well known that to determine a triangle up to congruence requires 3 measurements: three sides, two sides and the included angle, or one side and two angles. We consider various generalizations of this fact to two and three dimensions. In particular we consider the following question: given a convex polyhedron P , how many measurements are required to determine P up to congruence? We show that in general the answer is that the number of measurements required is equal to the number of edges of the polyhedron. However, for many polyhedra fewer measurements suffice; in the case of the cube we show that nine carefully chosen measurements are enough. We also prove a number of analogous results for planar polygons. In particular we describe a variety of quadrilaterals, including all rhombi and all rectangles, that can be determined up to congruence with only four measurements, and we prove the existence of n-gons requiring only n measurements. Finally, we show that one cannot do better: for any ordered set of n distinct points in the plane one needs at least n measurements to determine this set up to congruence. An appendix by David Allwright shows that the set of twelve face-diagonals of the cube fails to determine the cube up to conjugacy. Allwright gives a classification of all hexahedra with all face- diagonals of equal length. 1 Introduction We discuss a class of problems about the congruence or similarity of three dimensional polyhedra. -
Graphing a Circle and a Polar Equation 13 Graphing Calculator Lab (Use with Lessons 91, 96)
SSM_A2_NLB_SBK_Lab13.inddM_A2_NLB_SBK_Lab13.indd PagePage 638638 6/12/086/12/08 2:42:452:42:45 AMAM useruser //Volumes/ju110/HCAC061/SM_A2_SBK_indd%0/SM_A2_NL_SBK_LAB/SM_A2_Lab_13Volumes/ju110/HCAC061/SM_A2_SBK_indd%0/SM_A2_NL_SBK_LAB/SM_A2_Lab_13 LAB Graphing a Circle and a Polar Equation 13 Graphing Calculator Lab (Use with Lessons 91, 96) Graphing a Circle in Function Mode 2 2 Graphing 1. Enter the equation of the circle (x - 3) + (y - 5) = 21 as the two Calculator functions, y = ± √21 - (x - 3)2 + 5. Refer to Calculator Lab 1 a. Press to access the Y= equation on page 19 for graphing a function. editor screen. 2 b. Type √21 - (x - 3) + 5 into Y1 2 and - √21 - (x - 3) + 5 into Y2 c. Press to graph the functions. d. Use the or button to adjust the window. The graph will have a more circular shape using 5 rather than 6. Graphing a Polar Equation 2. Change the mode of the calculator to polar mode. a. Press .Press two times to highlight RADIAN, and then press enter. b. Press to FUNC, and then two times to highlight POL, and then press . c. Press two more times to SEQUENTIAL, press to highlight SIMUL, and then press . d. To exit the MODE menu, press . 3. Enter the equation of the circle (x - 3)2 + (y - 5)2 = 34 as the polar equation r = 6 cos θ - 10 sin θ. a. Press to access the r1 = equation editor screen. b. Type in 6 cos θ - 10 sin θ into r1 by pressing Online Connection www.SaxonMathResources.com . 638 Saxon Algebra 2 SSM_A2_NLB_SBK_Lab13.inddM_A2_NLB_SBK_Lab13.indd PagePage 639639 6/13/086/13/08 3:45:473:45:47 PMPM User-17User-17 //Volumes/ju110/HCAC061/SM_A2_SBK_indd%0/SM_A2_NL_SBK_LAB/SM_A2_Lab_13Volumes/ju110/HCAC061/SM_A2_SBK_indd%0/SM_A2_NL_SBK_LAB/SM_A2_Lab_13 Graphing 4. -
Geometrygeometry
Park Forest Math Team Meet #3 GeometryGeometry Self-study Packet Problem Categories for this Meet: 1. Mystery: Problem solving 2. Geometry: Angle measures in plane figures including supplements and complements 3. Number Theory: Divisibility rules, factors, primes, composites 4. Arithmetic: Order of operations; mean, median, mode; rounding; statistics 5. Algebra: Simplifying and evaluating expressions; solving equations with 1 unknown including identities Important Information you need to know about GEOMETRY… Properties of Polygons, Pythagorean Theorem Formulas for Polygons where n means the number of sides: • Exterior Angle Measurement of a Regular Polygon: 360÷n • Sum of Interior Angles: 180(n – 2) • Interior Angle Measurement of a regular polygon: • An interior angle and an exterior angle of a regular polygon always add up to 180° Interior angle Exterior angle Diagonals of a Polygon where n stands for the number of vertices (which is equal to the number of sides): • • A diagonal is a segment that connects one vertex of a polygon to another vertex that is not directly next to it. The dashed lines represent some of the diagonals of this pentagon. Pythagorean Theorem • a2 + b2 = c2 • a and b are the legs of the triangle and c is the hypotenuse (the side opposite the right angle) c a b • Common Right triangles are ones with sides 3, 4, 5, with sides 5, 12, 13, with sides 7, 24, 25, and multiples thereof—Memorize these! Category 2 50th anniversary edition Geometry 26 Y Meet #3 - January, 2014 W 1) How many cm long is segment 6 XY ? All measurements are in centimeters (cm). -
Automatic Workflow for Roof Extraction and Generation of 3D
International Journal of Geo-Information Article Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds Arnadi Murtiyoso * , Mirza Veriandi, Deni Suwardhi , Budhy Soeksmantono and Agung Budi Harto Remote Sensing and GIS Group, Bandung Institute of Technology (ITB), Jalan Ganesha No. 10, Bandung 40132, Indonesia; [email protected] (M.V.); [email protected] (D.S.); [email protected] (B.S.); [email protected] (A.B.H.) * Correspondence: arnadi_ad@fitb.itb.ac.id Received: 6 November 2020; Accepted: 11 December 2020; Published: 12 December 2020 Abstract: Developments in UAV sensors and platforms in recent decades have stimulated an upsurge in its application for 3D mapping. The relatively low-cost nature of UAVs combined with the use of revolutionary photogrammetric algorithms, such as dense image matching, has made it a strong competitor to aerial lidar mapping. However, in the context of 3D city mapping, further 3D modeling is required to generate 3D city models which is often performed manually using, e.g., photogrammetric stereoplotting. The aim of the paper was to try to implement an algorithmic approach to building point cloud segmentation, from which an automated workflow for the generation of roof planes will also be presented. 3D models of buildings are then created using the roofs’ planes as a base, therefore satisfying the requirements for a Level of Detail (LoD) 2 in the CityGML paradigm. Consequently, the paper attempts to create an automated workflow starting from UAV-derived point clouds to LoD 2-compatible 3D model. -
A Unified Algorithmic Framework for Multi-Dimensional Scaling
A Unified Algorithmic Framework for Multi-Dimensional Scaling † ‡ Arvind Agarwal∗ Jeff M. Phillips Suresh Venkatasubramanian Abstract In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is modular; by changing the internals of a single subroutine in the algorithm, we can switch cost functions and target spaces easily. In addition to the formal guarantees of convergence, our algorithms are accurate; in most cases, they converge to better quality solutions than existing methods, in comparable time. We expect that this framework will be useful for a number of MDS variants that have not yet been studied. Our framework extends to embedding high-dimensional points lying on a sphere to points on a lower di- mensional sphere, preserving geodesic distances. As a compliment to this result, we also extend the Johnson- 2 Lindenstrauss Lemma to this spherical setting, where projecting to a random O((1=" ) log n)-dimensional sphere causes "-distortion. 1 Introduction Multidimensional scaling (MDS) [23, 10, 3] is a widely used method for embedding a general distance matrix into a low dimensional Euclidean space, used both as a preprocessing step for many problems, as well as a visualization tool in its own right. MDS has been studied and used in psychology since the 1930s [35, 33, 22] to help visualize and analyze data sets where the only input is a distance matrix. More recently MDS has become a standard dimensionality reduction and embedding technique to manage the complexity of dealing with large high dimensional data sets [8, 9, 31, 6]. -
Geant4 Integration Status
Geant4 integration status ● All CMS shapes integrated: box, tube, trapezoid, cone, polycone, and polyhedra – stress-tested with Geant4 test job FullCMS, a few warnings printed multiple times, ~ all of them coming from polycone or polyhedron special cases. – several fixes uploaded, job still crashes using VecGeom shapes (runs to the end using Geant4 or USolids shapes) ● ...and a few more: Trd, torus2, paraboloid, orb, sphere – integrated, but not stress-tested yet, since not used in FullCMS geant4 test job. G. Lima – GeantV weekly meeting – 2015/10/27 1 During code sprint ● With Sandro, fixed few more bugs with the tube (point near phi- section surface) and polycone (near a ~vertical section) ● Changes in USolids shapes, to inherit from specialized shapes instead of “simple shapes” ● Crashes due to Normal() calculation returning (0,0,0) when fully inside, but at the z-plane between sections z Both sections need to be checked, and several possible section outcomes Q combined → normals added: +z + (-z) = (0,0,0) G. Lima – GeantV weekly meeting – 2015/10/27 2 Geant4 integration status ● What happened since our code sprint? – More exceptions related to Inside/Contains inconsistencies, triggered at Geant4 navigation tests ● outPoint, dir → surfPoint = outPoint + step * dir ● Inside(surfPoint) → kOutside (should be surface) Both sections need to be checked, several possible section outcomes combined, e.g. in+in = in surf + out = surf, etc... P G. Lima – GeantV weekly meeting – 2015/10/27 3 Geant4 integration status ● What happened after our code sprint? – Normal() fix required a similar set of steps → code duplication ● GenericKernelContainsAndInside() ● ConeImplementation::NormalKernel() (vector mode) ● UnplacedCone::Normal() (scalar mode) – First attempt involved Normal (0,0,0) and valid=false for all points away from surface --- unacceptable for navigation – Currently a valid normal is P always provided, BUT it is not always the best one (a performance priority choice) n G. -
Final Exam Review Questions with Solutions
SOLUTIONS MATH 213 / Final Review Questions, F15 1. Sketch a concave polygon and explain why it is both concave and a polygon. A polygon is a simple closed curve that is the union of line segments. A polygon is concave if it contains two points such that the line segment joining the points does not completely lie in the polygon. 2. Sketch a simple closed curve and explain why it is both simple and closed. A simple closed curve is a simple curve (starts and stops without intersecting itself) that starts and stops at the same point. 3. Determine the measure of the vertex, central and exterior angles of a regular heptagon, octagon and nonagon. Exterior Vertex Central (n 2)180 180 Shape n (2)180n 360 n n n 180nn 180 360 360 nn regular heptagon 7 128.6 51.4 51.4 regular octagon 8 135.0 45.0 45.0 regular nonagon 9 140.0 40.0 40.0 4. Determine whether each figure is a regular polygon. If it is, explain why. If it is not, state which condition it dos not satisfy. No, sides are No, angels are Yes, all angles are congruent not congruent not congruent and all angles are congruent 5. A prism has 69 edges. How many vertices and faces does it have? E = 69, V = 46, F= 25 6. A pyramid has 68 edges. How many vertices and faces does it have? E = 68, V = 35, F= 35 7. A prism has 24 faces. How many edges and vertices does it have? E = 66, V = 44, F= 24 8. -
12 Angle Deficit
12 Angle Deficit Themes Angle measure, polyhedra, number patterns, Euler Formula. Vocabulary Vertex, angle, pentagon, pentagonal, hexagon, pyramid, dipyramid, base, degrees, radians. Synopsis Define and record angle deficit at a vertex. Investigate the sum of angle deficits over all vertices in a polyhedron. Discover its constant value for a range of polyhedra. Overall structure Previous Extension 1 Use, Safety and the Rhombus 2 Strips and Tunnels 3 Pyramids (gives an introductory experience of removing X angle at a vertex to make a three dimensional object) 4 Regular Polyhedra (extend activity 3) X 5 Symmetry 6 Colour Patterns 7 Space Fillers 8 Double edge length tetrahedron 9 Stella Octangula 10 Stellated Polyhedra and Duality 11 Faces and Edges 12 Angle Deficit 13 Torus (extends both angle deficit and the Euler formula. X For advanced level discussion see the separate document: “Proof of the Angle Deficit Formula”) Layout The activity description is in this font, with possible speech or actions as follows: Suggested instructor speech is shown here with possible student responses shown here. 'Alternative responses are shown in quotation marks’. Activity 12 1 © 2013 1 Quantifying angle deficit Ask the students: How many of these equilateral triangles can fit around a point flat on the floor, and what shape will they make? 6, hexagon Get into groups of 4 or 5 students and take enough triangles to lay them out around a point flat on the floor and tie them. How many did it take? 6 What shape is it? Hexagon Why is it called a hexagon? It has 6 sides Take two hexagons and put them near each other but not touching, and untie one triangle from one of the hexagons as in figure 1. -
51.84 Degrees
51.84 Degrees Project 8-05 Hwa Chong Institution Ong Zhi Jie 2A121 Ng Hong Wei 2A320 Wong Yee Hern 2A331 Author's Note his is a concise version of the report on all of the authors' research findings throughout T the project, intended for submission in the Hwa Chong 2019 Project Work 7th Category. Many results, their respective proofs and their discussions have been omitted for the sake of exercise for the reader. Sections which are less important such as Introduction and Rationale are shortened, thus motivation for the project may seem less developed and the rigorous foundation may be compromised in favour of more intuitive discussions. Our work and any material are completely original unless stated explicitly. All irrational values will be in 4 significant figures and all trigonometric values in 3 significant values, unless specifically stated. Nomenclature β Vertex Angle of Pyramid θ Slope angle of Pyramid a Apothem of Pyramid d Distance from Base of Pyramid to Centre of Gravity h Height of the Pyramid l Base Length of Pyramid S Surface Area of a Triangular Face of Pyramid Contents 1 Introduction and Rationale 3 2 Objectives 3 2.1 Research Questions . .3 3 Literature Review 4 3.1 the seked system . .4 3.2 Dimensions of the Great Pyramid . .4 3.2.1 Base Measurements of the Great Pyramid . .4 3.2.2 Method of Measurement . .5 3.2.3 Base Length of the Pyramid . .5 3.2.4 Height and Slope Measurements of the Pyramid . .6 3.3 Vertex Angle of Sand . .6 1 4 Research Findings 6 4.1 Objective 1 . -
Obtaining a Canonical Polygonal Schema from a Greedy Homotopy Basis with Minimal Mesh Refinement
JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 Obtaining a Canonical Polygonal Schema from a Greedy Homotopy Basis with Minimal Mesh Refinement Marco Livesu, CNR IMATI Abstract—Any closed manifold of genus g can be cut open to form a topological disk and then mapped to a regular polygon with 4g sides. This construction is called the canonical polygonal schema of the manifold, and is a key ingredient for many applications in graphics and engineering, where a parameterization between two shapes with same topology is often needed. The sides of the 4g−gon define on the manifold a system of loops, which all intersect at a single point and are disjoint elsewhere. Computing a shortest system of loops of this kind is NP-hard. A computationally tractable alternative consists in computing a set of shortest loops that are not fully disjoint in polynomial time using the greedy homotopy basis algorithm proposed by Erickson and Whittlesey [1], and then detach them in post processing via mesh refinement. Despite this operation is conceptually simple, known refinement strategies do not scale well for high genus shapes, triggering a mesh growth that may exceed the amount of memory available in modern computers, leading to failures. In this paper we study various local refinement operators to detach cycles in a system of loops, and show that there are important differences between them, both in terms of mesh complexity and preservation of the original surface. We ultimately propose two novel refinement approaches: the former minimizes the number of new elements in the mesh, possibly at the cost of a deviation from the input geometry.