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Rendering Hypercomplex Fractals Anthony Atella [email protected]
Rhode Island College Digital Commons @ RIC Honors Projects Overview Honors Projects 2018 Rendering Hypercomplex Fractals Anthony Atella [email protected] Follow this and additional works at: https://digitalcommons.ric.edu/honors_projects Part of the Computer Sciences Commons, and the Other Mathematics Commons Recommended Citation Atella, Anthony, "Rendering Hypercomplex Fractals" (2018). Honors Projects Overview. 136. https://digitalcommons.ric.edu/honors_projects/136 This Honors is brought to you for free and open access by the Honors Projects at Digital Commons @ RIC. It has been accepted for inclusion in Honors Projects Overview by an authorized administrator of Digital Commons @ RIC. For more information, please contact [email protected]. Rendering Hypercomplex Fractals by Anthony Atella An Honors Project Submitted in Partial Fulfillment of the Requirements for Honors in The Department of Mathematics and Computer Science The School of Arts and Sciences Rhode Island College 2018 Abstract Fractal mathematics and geometry are useful for applications in science, engineering, and art, but acquiring the tools to explore and graph fractals can be frustrating. Tools available online have limited fractals, rendering methods, and shaders. They often fail to abstract these concepts in a reusable way. This means that multiple programs and interfaces must be learned and used to fully explore the topic. Chaos is an abstract fractal geometry rendering program created to solve this problem. This application builds off previous work done by myself and others [1] to create an extensible, abstract solution to rendering fractals. This paper covers what fractals are, how they are rendered and colored, implementation, issues that were encountered, and finally planned future improvements. -
Golden Ratio: a Subtle Regulator in Our Body and Cardiovascular System?
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/306051060 Golden Ratio: A subtle regulator in our body and cardiovascular system? Article in International journal of cardiology · August 2016 DOI: 10.1016/j.ijcard.2016.08.147 CITATIONS READS 8 266 3 authors, including: Selcuk Ozturk Ertan Yetkin Ankara University Istinye University, LIV Hospital 56 PUBLICATIONS 121 CITATIONS 227 PUBLICATIONS 3,259 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: microbiology View project golden ratio View project All content following this page was uploaded by Ertan Yetkin on 23 August 2019. The user has requested enhancement of the downloaded file. International Journal of Cardiology 223 (2016) 143–145 Contents lists available at ScienceDirect International Journal of Cardiology journal homepage: www.elsevier.com/locate/ijcard Review Golden ratio: A subtle regulator in our body and cardiovascular system? Selcuk Ozturk a, Kenan Yalta b, Ertan Yetkin c,⁎ a Abant Izzet Baysal University, Faculty of Medicine, Department of Cardiology, Bolu, Turkey b Trakya University, Faculty of Medicine, Department of Cardiology, Edirne, Turkey c Yenisehir Hospital, Division of Cardiology, Mersin, Turkey article info abstract Article history: Golden ratio, which is an irrational number and also named as the Greek letter Phi (φ), is defined as the ratio be- Received 13 July 2016 tween two lines of unequal length, where the ratio of the lengths of the shorter to the longer is the same as the Accepted 7 August 2016 ratio between the lengths of the longer and the sum of the lengths. -
Generating Fractals Using Complex Functions
Generating Fractals Using Complex Functions Avery Wengler and Eric Wasser What is a Fractal? ● Fractals are infinitely complex patterns that are self-similar across different scales. ● Created by repeating simple processes over and over in a feedback loop. ● Often represented on the complex plane as 2-dimensional images Where do we find fractals? Fractals in Nature Lungs Neurons from the Oak Tree human cortex Regardless of scale, these patterns are all formed by repeating a simple branching process. Geometric Fractals “A rough or fragmented geometric shape that can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole.” Mandelbrot (1983) The Sierpinski Triangle Algebraic Fractals ● Fractals created by repeatedly calculating a simple equation over and over. ● Were discovered later because computers were needed to explore them ● Examples: ○ Mandelbrot Set ○ Julia Set ○ Burning Ship Fractal Mandelbrot Set ● Benoit Mandelbrot discovered this set in 1980, shortly after the invention of the personal computer 2 ● zn+1=zn + c ● That is, a complex number c is part of the Mandelbrot set if, when starting with z0 = 0 and applying the iteration repeatedly, the absolute value of zn remains bounded however large n gets. Animation based on a static number of iterations per pixel. The Mandelbrot set is the complex numbers c for which the sequence ( c, c² + c, (c²+c)² + c, ((c²+c)²+c)² + c, (((c²+c)²+c)²+c)² + c, ...) does not approach infinity. Julia Set ● Closely related to the Mandelbrot fractal ● Complementary to the Fatou Set Featherino Fractal Newton’s method for the roots of a real valued function Burning Ship Fractal z2 Mandelbrot Render Generic Mandelbrot set. -
The Mathematics of Art: an Untold Story Project Script Maria Deamude Math 2590 Nov 9, 2010
The Mathematics of Art: An Untold Story Project Script Maria Deamude Math 2590 Nov 9, 2010 Art is a creative venue that can, and has, been used for many purposes throughout time. Religion, politics, propaganda and self-expression have all used art as a vehicle for conveying various messages, without many references to the technical aspects. Art and mathematics are two terms that are not always thought of as being interconnected. Yet they most definitely are; for art is a highly technical process. Following the histories of maths and sciences – if not instigating them – art practices and techniques have developed and evolved since man has been on earth. Many mathematical developments occurred during the Italian and Northern Renaissances. I will describe some of the math involved in art-making, most specifically in architectural and painting practices. Through the medieval era and into the Renaissance, 1100AD through to 1600AD, certain significant mathematical theories used to enhance aesthetics developed. Understandings of line, and placement and scale of shapes upon a flat surface developed to the point of creating illusions of reality and real, three dimensional space. One can look at medieval frescos and altarpieces and witness a very specific flatness which does not create an illusion of real space. Frescos are like murals where paint and plaster have been mixed upon a wall to create the image – Michelangelo’s work in the Sistine Chapel and Leonardo’s The Last Supper are both famous examples of frescos. The beginning of the creation of the appearance of real space can be seen in Giotto’s frescos in the late 1200s and early 1300s. -
Sphere Tracing, Distance Fields, and Fractals Alexander Simes
Sphere Tracing, Distance Fields, and Fractals Alexander Simes Advisor: Angus Forbes Secondary: Andrew Johnson Fall 2014 - 654108177 Figure 1: Sphere Traced images of Menger Cubes and Mandelboxes shaded by ambient occlusion approximation on the left and Blinn-Phong with shadows on the right Abstract Methods to realistically display complex surfaces which are not practical to visualize using traditional techniques are presented. Additionally an application is presented which is capable of utilizing some of these techniques in real time. Properties of these surfaces and their implications to a real time application are discussed. Table of Contents 1 Introduction 3 2 Minimal CPU Sphere Tracing Model 4 2.1 Camera Model 4 2.2 Marching with Distance Fields Introduction 5 2.3 Ambient Occlusion Approximation 6 3 Distance Fields 9 3.1 Signed Sphere 9 3.2 Unsigned Box 9 3.3 Distance Field Operations 10 4 Blinn-Phong Shadow Sphere Tracing Model 11 4.1 Scene Composition 11 4.2 Maximum Marching Iteration Limitation 12 4.3 Surface Normals 12 4.4 Blinn-Phong Shading 13 4.5 Hard Shadows 14 4.6 Translation to GPU 14 5 Menger Cube 15 5.1 Introduction 15 5.2 Iterative Definition 16 6 Mandelbox 18 6.1 Introduction 18 6.2 boxFold() 19 6.3 sphereFold() 19 6.4 Scale and Translate 20 6.5 Distance Function 20 6.6 Computational Efficiency 20 7 Conclusion 2 1 Introduction Sphere Tracing is a rendering technique for visualizing surfaces using geometric distance. Typically surfaces applicable to Sphere Tracing have no explicit geometry and are implicitly defined by a distance field. -
Leonardo Da Vinci's Study of Light and Optics: a Synthesis of Fields in The
Bitler Leonardo da Vinci’s Study of Light and Optics Leonardo da Vinci’s Study of Light and Optics: A Synthesis of Fields in The Last Supper Nicole Bitler Stanford University Leonardo da Vinci’s Milanese observations of optics and astronomy complicated his understanding of light. Though these complications forced him to reject “tidy” interpretations of light and optics, they ultimately allowed him to excel in the portrayal of reflection, shadow, and luminescence (Kemp, 2006). Leonardo da Vinci’s The Last Supper demonstrates this careful study of light and the relation of light to perspective. In the work, da Vinci delved into the complications of optics and reflections, and its renown guided the artistic study of light by subsequent masters. From da Vinci’s personal manuscripts, accounts from his contemporaries, and present-day art historians, the iterative relationship between Leonardo da Vinci’s study of light and study of optics becomes apparent, as well as how his study of the two fields manifested in his paintings. Upon commencement of courtly service in Milan, da Vinci immersed himself in a range of scholarly pursuits. Da Vinci’s artistic and mathematical interest in perspective led him to the study of optics. Initially, da Vinci “accepted the ancient (and specifically Platonic) idea that the eye functioned by emitting a special type of visual ray” (Kemp, 2006, p. 114). In his early musings on the topic, da Vinci reiterated this notion, stating in his notebooks that, “the eye transmits through the atmosphere its own image to all the objects that are in front of it and receives them into itself” (Suh, 2005, p. -
Computer-Generated Music Through Fractals and Genetic Theory
Ouachita Baptist University Scholarly Commons @ Ouachita Honors Theses Carl Goodson Honors Program 2000 MasterPiece: Computer-generated Music through Fractals and Genetic Theory Amanda Broyles Ouachita Baptist University Follow this and additional works at: https://scholarlycommons.obu.edu/honors_theses Part of the Artificial Intelligence and Robotics Commons, Music Commons, and the Programming Languages and Compilers Commons Recommended Citation Broyles, Amanda, "MasterPiece: Computer-generated Music through Fractals and Genetic Theory" (2000). Honors Theses. 91. https://scholarlycommons.obu.edu/honors_theses/91 This Thesis is brought to you for free and open access by the Carl Goodson Honors Program at Scholarly Commons @ Ouachita. It has been accepted for inclusion in Honors Theses by an authorized administrator of Scholarly Commons @ Ouachita. For more information, please contact [email protected]. D MasterPiece: Computer-generated ~1usic through Fractals and Genetic Theory Amanda Broyles 15 April 2000 Contents 1 Introduction 3 2 Previous Examples of Computer-generated Music 3 3 Genetic Theory 4 3.1 Genetic Algorithms . 4 3.2 Ylodified Genetic Theory . 5 4 Fractals 6 4.1 Cantor's Dust and Fractal Dimensions 6 4.2 Koch Curve . 7 4.3 The Classic Example and Evrrvday Life 7 5 MasterPiece 8 5.1 Introduction . 8 5.2 In Detail . 9 6 Analysis 14 6.1 Analysis of Purpose . 14 6.2 Analysis of a Piece 14 7 Improvements 15 8 Conclusion 16 1 A Prelude2.txt 17 B Read.cc 21 c MasterPiece.cc 24 D Write.cc 32 E Temp.txt 35 F Ternpout. txt 36 G Tempoutmid. txt 37 H Untitledl 39 2 Abstract A wide variety of computer-generated music exists. -
Computer Vision Today Introductions Introductions Computer Vision Why
Today • Course overview • Requirements, logistics Computer Vision • Image formation Thursday, August 30 Introductions Introductions • Instructor: Prof. Kristen Grauman grauman @ cs TAY 4.118, Thurs 2-4 pm • TA: Sudheendra Vijayanarasimhan svnaras @ cs ENS 31 NQ, Mon/Wed 1-2 pm • Class page: Check for updates to schedule, assignments, etc. http://www.cs.utexas.edu/~grauman/courses/378/main.htm Computer vision Why vision? • Automatic understanding of images and • As image sources multiply, so do video applications • Computing properties of the 3D world from – Relieve humans of boring, easy tasks visual data – Enhance human abilities • Algorithms and representations to allow a – Advance human-computer interaction, machine to recognize objects, people, visualization scenes, and activities. – Perception for robotics / autonomous agents • Possible insights into human vision 1 Some applications Some applications Navigation, driver safety Autonomous robots Assistive technology Surveillance Factory – inspection Monitoring for safety (Cognex) (Poseidon) Visualization License plate reading Visualization and tracking Medical Visual effects imaging (the Matrix) Some applications Why is vision difficult? • Ill-posed problem: real world much more complex than what we can measure in Situated search images Multi-modal interfaces –3D Æ 2D • Impossible to literally “invert” image formation process Image and video databases - CBIR Tracking, activity recognition Challenges: robustness Challenges: context and human experience Illumination Object pose Clutter -
Linking Math with Art Through the Elements of Design
2007 Asilomar Mathematics Conference Linking Math With Art Through The Elements of Design Presented by Renée Goularte Thermalito Union School District • Oroville, California www.share2learn.com [email protected] The Elements of Design ~ An Overview The elements of design are the components which make up any visual design or work or art. They can be isolated and defined, but all works of visual art will contain most, if not all, the elements. Point: A point is essentially a dot. By definition, it has no height or width, but in art a point is a small, dot-like pencil mark or short brush stroke. Line: A line can be made by a series of points, a pencil or brush stroke, or can be implied by the edge of an object. Shape and Form: Shapes are defined by lines or edges. They can be geometric or organic, predictably regular or free-form. Form is an illusion of three- dimensionality given to a flat shape. Texture: Texture can be tactile or visual. Tactile texture is something you can feel; visual texture relies on the eyes to help the viewer imagine how something might feel. Texture is closely related to Pattern. Pattern: Patterns rely on repetition or organization of shapes, colors, or other qualities. The illusion of movement in a composition depends on placement of subject matter. Pattern is closely related to Texture and is not always included in a list of the elements of design. Color and Value: Color, also known as hue, is one of the most powerful elements. It can evoke emotion and mood, enhance texture, and help create the illusion of distance. -
Arm Streamline Tutorial Analyzing an Example Streamline Report with Arm
Arm Streamline Tutorial Revision: NA Analyzing an example Streamline report with Arm DS Non-Confidential Issue 0.0 Copyright © 2021 Arm Limited (or its affiliates). NA All rights reserved. Arm Streamline Tutorial Analyzing an example Streamline NA report with Arm DS Issue 0.0 Arm Streamline Tutorial Analyzing an example Streamline report with Arm DS Copyright © 2021 Arm Limited (or its affiliates). All rights reserved. Release information Document history Issue Date Confidentiality Change 0.0 30th of Non- First version March 2021 Confidential Confidential Proprietary Notice This document is CONFIDENTIAL and any use by you is subject to the terms of the agreement between you and Arm or the terms of the agreement between you and the party authorized by Arm to disclose this document to you. This document is protected by copyright and other related rights and the practice or implementation of the information contained in this document may be protected by one or more patents or pending patent applications. No part of this document may be reproduced in any form by any means without the express prior written permission of Arm. No license, express or implied, by estoppel or otherwise to any intellectual property rights is granted by this document unless specifically stated. Your access to the information in this document is conditional upon your acceptance that you will not use or permit others to use the information: (i) for the purposes of determining whether implementations infringe any third party patents; (ii) for developing technology or products which avoid any of Arm's intellectual property; or (iii) as a reference for modifying existing patents or patent applications or creating any continuation, continuation in part, or extension of existing patents or patent applications; or (iv) for generating data for publication or disclosure to third parties, which compares the performance or functionality of the Arm technology described in this document with any other products created by you or a third party, without obtaining Arm's prior written consent. -
FOR IMMEDIATE RELEASE August 18, 2015
FOR IMMEDIATE RELEASE August 18, 2015 MEDIA CONTACT Emily Kowalski | (919) 664-6795 | [email protected] North Carolina Museum of Art Presents M. C. Escher, Leonardo da Vinci Exhibitions and Related Events Raleigh, N.C.—The North Carolina Museum of Art (NCMA) presents two exhibitions opening in October 2015: The Worlds of M. C. Escher: Nature, Science, and Imagination and Leonardo da Vinci’s Codex Leicester and the Creative Mind. The Worlds of M. C. Escher features over 130 works (some never before exhibited) and will be the most comprehensive Escher exhibition ever presented in the United States. The Codex Leicester is a 500-year-old notebook handwritten and illustrated by inventor, scientist, and artist Leonardo da Vinci—the only manuscript by Leonardo in North America—that offers a glimpse into one of the greatest minds in history. “This is going to be an exciting fall at the Museum—an incredibly rare opportunity for our visitors to see not only centuries-old writings and sketches by Leonardo da Vinci, but also the work of M. C. Escher, another observer of nature and a perfect modern counterpart to Leonardo,” says NCMA Director Lawrence J. Wheeler. “These exhibitions will thrill art lovers and science lovers alike, and we hope that all visitors leave with a piqued curiosity, an ignited imagination, and a desire to more closely observe the world around them.” The Worlds of M. C. Escher: Nature, Science, and Imagination October 17, 2015−January 17, 2016 Comprising over 130 woodcuts, lithographs, wood engravings, and mezzotints, as well as numerous drawings, watercolors, wood blocks, and lithographic stones never before exhibited, The Worlds of M. -
Symmetry in Perspective
Symmetry in Perspective Stefan Carlsson Numerical Analysis and Computing Science, Royal Institute of Technology, (KTH), S-100 44 Stockholm, Sweden, [email protected], http://www.nada.kth.se/,-,stefanc Abstract. When a symmetric object in 3D is projected to an image, the symmetry properties are lost except for specific relative viewpoints. For sufficiently complex objects however, it is still possible to infer sym- metry in 3D from a single image of an uncalibrated camera. In this paper we give a general computational procedure for computing 3D structure and finding image symmetry constraints from single view projections of symmetric 3D objects. For uncalibrated cameras these constraints take the form of polynomials in brackets (determinants) and by using pro- jectively invariant shape constraints relating 3D and image structure, the symmetry constraints can be derived easily by considering the ef- fects of the corresponding symmetry transformation group in 3D. The constraints can also be given a useful geometric interpretation in terms of projective incidence using the Grassmann-Cayley algebra formalism. We demonstrate that in specific situations geometric intuition and the use of GC-algebra is a very simple and effective tool for finding image symmetry constraints. 1 Introduction The detection and analysis of symmetry is a problem that has many aspects and levels of complexity depending on e.g. the geometry of the imaging process and the shape of the objects being imaged. An object that is symmetric in 3D will only give rise to a symmetric image for specific viewing positions. It is however in general still possible to decide whether an image is a view of a symmetric object.