Light Scattering from Human Hair Fibers
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Classical and Modern Diffraction Theory
Downloaded from http://pubs.geoscienceworld.org/books/book/chapter-pdf/3701993/frontmatter.pdf by guest on 29 September 2021 Classical and Modern Diffraction Theory Edited by Kamill Klem-Musatov Henning C. Hoeber Tijmen Jan Moser Michael A. Pelissier SEG Geophysics Reprint Series No. 29 Sergey Fomel, managing editor Evgeny Landa, volume editor Downloaded from http://pubs.geoscienceworld.org/books/book/chapter-pdf/3701993/frontmatter.pdf by guest on 29 September 2021 Society of Exploration Geophysicists 8801 S. Yale, Ste. 500 Tulsa, OK 74137-3575 U.S.A. # 2016 by Society of Exploration Geophysicists All rights reserved. This book or parts hereof may not be reproduced in any form without permission in writing from the publisher. Published 2016 Printed in the United States of America ISBN 978-1-931830-00-6 (Series) ISBN 978-1-56080-322-5 (Volume) Library of Congress Control Number: 2015951229 Downloaded from http://pubs.geoscienceworld.org/books/book/chapter-pdf/3701993/frontmatter.pdf by guest on 29 September 2021 Dedication We dedicate this volume to the memory Dr. Kamill Klem-Musatov. In reading this volume, you will find that the history of diffraction We worked with Kamill over a period of several years to compile theory was filled with many controversies and feuds as new theories this volume. This volume was virtually ready for publication when came to displace or revise previous ones. Kamill Klem-Musatov’s Kamill passed away. He is greatly missed. new theory also met opposition; he paid a great personal price in Kamill’s role in Classical and Modern Diffraction Theory goes putting forth his theory for the seismic diffraction forward problem. -
Image-Space Caustics and Curvatures
Image-space Caustics and Curvatures Xuan Yu Feng Li Jingyi Yu Department of Computer and Information Sciences University of Delaware Newark, DE 19716, USA fxuan,feng,[email protected] Abstract Caustics are important visual phenomena, as well as challenging global illumination effects in computer graph- ics. Physically caustics can be interpreted from one of two perspectives: in terms of photons gathered on scene geom- etry, or in terms of a pair of caustic surfaces. These caustic surfaces are swept by the foci of light rays. In this paper, we develop a novel algorithm to approximate caustic sur- faces of sampled rays. Our approach locally parameterizes rays by their intersections with a pair of parallel planes. We show neighboring ray triplets are constrained to pass simul- taneously through two slits, which rule the caustic surfaces. We derive a ray characteristic equation to compute the two slits, and hence, the caustic surfaces. Using the characteris- tic equation, we develop a GPU-based algorithm to render the caustics. Our approach produces sharp and clear caus- tics using much fewer ray samples than the photon mapping method and it also maintains high spatial and temporal co- herency. Finally, we present a normal-ray surface repre- Figure 1. We use our caustic-surface-based sentation that locally parameterizes the normals about a algorithm to render the refraction caustics surface point as rays. Computing the normal ray caustic cast by a crystal bunny of 69473 triangles. On surfaces leads to a novel real-time discrete shape operator. an NVidia GeForce7800, our method renders at 115 fps at an image resolution of 512x512. -
Caustic Architecture Article
Tricks'of'the'light' An#extended#version#of#an#article#in#New$Scientist,#30#January#2013# # Two#men#enter#the#darkened#stage,#apparently#carrying#a#thick#slab#of#badly# made#glass,#like#the#stuff#in#the#windows#of#old#houses#that#turns#the#world# outside#wobbly.#They#hold#it#up,#and#computer#scientist#Mark#Pauly#shines#a# torch#at#it.#The#crowd#in#this#Parisian#auditorium#gasps#and#then#breaks#into# spontaneous#applause.# For#there#on#the#screen#behind,#conjured#out#of#this#piece#of#nearFfeatureless# material#–#not#glass,#in#fact,#but#transparent#acrylic#plastic#(Perspex)#–#is#a# projected#image#of#Alan#Turing,#the#computer#pioneer#whose#centenary#is# celebrated#this#year.#Every#thread#of#his#thick#tweed#jacket#is#picked#out#in#light# and#shadow.#But#where#is#the#image#coming#from?#It#can#only#be#the#transparent# slab,#but#there#seems#to#be#nothing#there#to#produce#it,#nothing#but#a#slightly# uneven#surface.# # An#image#of#Alan#Turing#conjured#from#light#passing#through#a#slab#of#Perspex#at#the# Advances#in#Architectural#Geometry#conference#in#Paris,#September#2012.# This#image#is#made#from#rays#refracted,#folded#and#focused#by#the#slightly# uneven#surface#of#the#acrylic#block.#It’s#similar#to#the#filigree#of#bright#bands#seen# on#the#bottom#of#a#swimming#pool#in#the#sunlight,#called#a#caustic#and#caused#by# the#way#the#wavy#surface#refracts#and#focuses#light.#Caustics#are#familiar#enough,# but#they#never#looked#like#this#before.#Those#made#by#sunlight#shining#through# an#empty#glass#are#a#random#mass#of#cusps#and#squiggles.#Pauly,#a#specialist#in# -
Real-Time Caustics
EUROGRAPHICS 2003 / P. Brunet and D. Fellner Volume 22 (2003), Number 3 (Guest Editors) Real-Time Caustics M. Wand and W. Straßer WSI/GRIS, University of Tübingen Abstract We present a new algorithm to render caustics. The algorithm discretizes the specular surfaces into sample points. Each of the sample points is treated as a pinhole camera that projects an image of the incoming light onto the diffuse receiver surfaces. Anti-aliasing is performed by considering the local surface curvature at the sample points to filter the projected images. The algorithm can be implemented using programmable texture mapping hardware. It allows to render caustics in fully dynamic scenes in real-time on current PC hardware. Categories and Subject Descriptors: I.3.3 [Computer Graphics]: Picture / Image Generation – Display Algo- rithms; I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism 1. Introduction tion step has to be performed that is often even more ex- pensive. Thus, the technique is usually not very efficient. A real-time simulation of the interaction of light with Although the implementation techniques for raytracing complex, dynamically changing scenery is still one of the queries have made impressive advances in the last few major challenges in computer graphics. In this paper, we years29, raytracing based algorithms still need a consider- look at a special global illumination problem, rendering of able amount of computational power (such as a cluster of caustics. Caustics occur if light is reflected (or refracted) at several high end CPUs) to calculate global illumination one or more specular surfaces, focused into ray bundles of solutions in real time30. -
WHAT DOES SHE LOOK LIKE? Preview a 1–09 Listen
2 WHAT DOES SHE LOOK LIKE? Preview A 1–09 Listen. Circle the words you hear. 1. Person A has (long / short) red hair. 2. Person B has (wavy / curly) brown hair. 3. Person C has (blond / black) hair and (green / blue) eyes. 4. Person D has (black / brown) hair and (blue / brown) eyes. 5. Person E has (spiky / short) black hair and (brown / green) eyes. B Look at the photos. Find people to match the descriptions in A. Write the numbers. C Work with a partner. Choose three people in the photos and write notes about them. Describe the people to your partner. PERSON DESCRIPTION This person is male. He has short black hair. Is it Person 2? 16 569101_TZSB2_U2_PP6.indd 16 2/25/15 3:40 PM short black hair 1 straight blond hair 2 3 long black hair 4 brown eyes 5 6 7 short brown hair 8 blue eyes 9 10 11 12 13 14 15 short, curly red hair 16 long, curly 17 18 brown hair 19 20 17 569101_TZSB2_U2_PP6.indd 17 2/25/15 3:40 PM Language Focus A 1–10 Listen and read. Then repeat the conversation REAL ENGLISH I’m on my way. and replace the words in blue. B Practice with a partner. Replace any words to make your own conversation. Ming, I’m at the soccer 1 game now. Where are you? 2 She has short blond hair and blue eyes. Emily? What does Sorry, I’m late. I’m on my way. she look like? Do you see Emily? hockey straight black / brown rugby spiky red / green 3 Does she wear glasses? 4 Excuse me, are you Emily? I’m . -
Running Head: ANESTHESIA REQUIREMENTS for REDHEADS 1 Anesthesia Requirements for Redheads Nathan Classon, RN, BSN, SRNA Adventis
Running head: ANESTHESIA REQUIREMENTS FOR REDHEADS 1 Anesthesia Requirements for Redheads Nathan Classon, RN, BSN, SRNA Adventist University of Health Sciences Project Mentor: Tom Andrews, MD, JLR Anesthesia Group Committee Chair: Alescia DeVasher Bethea, PhD, CRNA Nurse Anesthesia Program, Adventist University of Health Sciences March 16, 2016 ANESTHESIA REQUIREMENTS FOR REDHEADS 2 Abstract As the melanocortin-1 receptor gene was not discovered until 1995, only anecdotal observation supported that redheads had an increased anesthetic requirement. Utilizing relatively recent research, this project aimed to enhance the knowledge regarding the anesthetic requirements for redheads among student registered nurse anesthetists (SRNAs). Interestingly, there was a decided perspectival shift in the opinion of literature reviewed between 2004 and 2015. Earlier studies were supportive of an increased anesthetic requirement of redheads, while more recent studies discouraged such an approach. It is possible that the later studies relied on self-reported hair phenotype, rather than analysis of genetic makeup of the MC1R genotype. Given this, it is plausible that there is a significant difference in the anesthetic requirements of redheads, depending on whether they are homozygous, heterozygous, or compound heterozygous. Therefore, current literature was reviewed, synthesized, and presented simultaneously to two cohorts of SRNAs at Adventist University (ADU). The project’s efficacy was determined by comparing the scores of an identical pre- and post-test. -
Adaptive Spectral Mapping for Real-Time Dispersive Refraction By
Adaptive Spectral Mapping for Real-Time Dispersive Refraction by Damon Blanchette A Thesis Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE In partial fulfillment of the requirements for the Degree of Master of Science in Computer Science by ___________________________________ January 2012 APPROVED: ___________________________________ Professor Emmanuel Agu, Thesis Adviser ___________________________________ Professor Matthew Ward, Thesis Reader ___________________________________ Professor Craig Wills, Head of Department Abstract Spectral rendering, or the synthesis of images by taking into account the wavelengths of light, allows effects otherwise impossible with other methods. One of these effects is dispersion, the phenomenon that creates a rainbow when white light shines through a prism. Spectral rendering has previously remained in the realm of off-line rendering (with a few exceptions) due to the extensive computation required to keep track of individual light wavelengths. Caustics, the focusing and de-focusing of light through a refractive medium, can be interpreted as a special case of dispersion where all the wavelengths travel together. This thesis extends Adaptive Caustic Mapping, a previously proposed caustics mapping algorithm, to handle spectral dispersion. Because ACM can display caustics in real-time, it is quite amenable to be extended to handle the more general case of dispersion. A method is presented that runs in screen-space and is fast enough to display plausible dispersion phenomena in real-time at interactive frame rates. i Acknowledgments I would like to thank my adviser, Professor Emmanuel Agu, for his guidance, laughs, and answering my hundreds of questions over the year it took to complete this thesis. The beautiful video card helped, too. -
Advanced Computer Graphics CS 563: Adaptive Caustic Maps Using Deferred Shading
Advanced Computer Graphics CS 563: Adaptive Caustic Maps Using Deferred Shading Frederik Clinckemaillie Computer Science Dept. Worcester Polytechnic Institute (WPI) ItIntrod ucti on: CtiCaustics Reflective Caustics Refractive Caustics IdiIntroduction: CiCaustic MiMapping Much faster than path tracing algorithms Two‐pass process Similar to photon mapping Creates a caustic intensity map CtiCaustic MiMapping Three Step Process 1) Photon Emission 2) Rearrangement into Caustic Map 3) Caustic Map Projection CtiCaustic MiMapping Phot on EiiEmission Rasterizes from light view to generate grid of photons Creates photon buffer 2D image storing final photon hit points In conjunction with shadow maps Allows quick lookups to determine Indirect lighting from caustics CtiCaustic Map CtiCreation Controls lighting quality and cost Splatting photons into caustic map becomes bo ttlenec k Crisp noise‐free images require millions of phthotons Not feasible in interactive time Hierarchical caustic maps: discard unimportant parts of photon buffer to improve speed Uses multi‐resolution caustic map to reduce splatting costs Problems Poor photon sampling due to rasterization leads to under and over sampling Proper sampling resolution cannot be determined Millions of photons are required for high‐quality caustics. Processing each is too expensive Photon sampling location can change between frames, leading to coherency problems Photon sampling is not dynamic DfDeferre d Shadi ng Good sampling rates cannot be computed Ideally, number of photons is determined adtildaptively Hierarchical Caustic Map(HCM) Has a maximum number of photons, not all are processed Pho ton EiiEmission and CtiCaustic Map GtiGeneration should be coupled DfDeferre d Shadi ng Postpones final illumination computations until visible fragments are identified HCMs generates grid of phthotons and only processes relevant ones DfDeferre d Sha ding never generates ilirrelevan t photons. -
Controlling Caustics
Controlling Caustics Mark Pauly1, Michael Eigensatz, Philippe Bompas, Florian Rist2, Raimund Krenmuller2 1 EPFL 2 TU Wien Keywords 1 = Caustic 2 = Refraction 3 = Refl ection 4 = Design 5 = Milling 6 = Slumping Abstract Caustics are captivating light patterns created by materials focusing or diverting Figure 1 Left: A typical caustic created by a curved glass object appears chaotic and random. Right: Our light by refraction or refl ection. We know method creates glass objects that cast controlled caustics by optimization of the glass surface geometry alone. caustics as random side effects, appearing, The portrait of Alan Turing emerges from a beam of uniform light that is refracted by the circular glass piece. for example, at the bottom of a swimming pool, or generated by many glass objects, like drinking glasses or bottles. In this paper we show that it is possible to control caustic patterns to form almost any desired shape by optimizing the geometry of the refl ective or refractive surface generating the caustic. A seemingly fl at glass window, for example, can produce the image of a person as a caustic pattern on the fl oor, generated solely by the sunlight entering through that window. We demonstrate how this surprising result offers a new perspective on light control and the use of caustics as an inspiring design element in architecture, product design and beyond. Several produced samples illustrate that physical realizations of such optimized geometry are feasible. 1 Introduction The interaction of light with glass plays an important role for the perception and functionality of many glass products. One of the most fascinating light phenomena with glass objects are caustics: light gets focused and diverted when passing through the glass, creating an intriguing pattern of varying light intensity. -
Genetics of Hair and Skin Color
11 Sep 2003 14:51 AR AR201-GE37-04.tex AR201-GE37-04.sgm LaTeX2e(2002/01/18) P1: GCE 10.1146/annurev.genet.37.110801.143233 Annu. Rev. Genet. 2003. 37:67–90 doi: 10.1146/annurev.genet.37.110801.143233 Copyright c 2003 by Annual Reviews. All rights reserved First published online as a Review in Advance on June 17, 2003 GENETICS OF HAIR AND SKIN COLOR Jonathan L. Rees Systems Group, Dermatology, University of Edinburgh, Lauriston Buildings, Lauriston Place, Edinburgh, EH3 9YW, United Kingdom; email: [email protected] Key Words melanin, melanocortin 1 receptor (MC1R), eumelanin, pheomelanin, red hair ■ Abstract Differences in skin and hair color are principally genetically deter- mined and are due to variation in the amount, type, and packaging of melanin polymers produced by melanocytes secreted into keratinocytes. Pigmentary phenotype is genet- ically complex and at a physiological level complicated. Genes determining a number of rare Mendelian disorders of pigmentation such as albinism have been identified, but only one gene, the melanocortin 1 receptor (MCR1), has so far been identified to explain variation in the normal population such as that leading to red hair, freckling, and sun-sensitivity. Genotype-phenotype relations of the MC1R are reviewed, as well as methods to improve the phenotypic assessment of human pigmentary status. It is argued that given advances in model systems, increases in technical facility, and the lower cost of genotype assessment, the lack of standardized phenotype assessment is now a major limit on advance. CONTENTS INTRODUCTION ..................................................... 68 BIOLOGY OF HUMAN PIGMENTATION ................................ 69 by San Jose State University on 10/05/10. -
Taking the Kinks out of Your Hair and out of Your Mind: a Study on Black Hair and the Intersections of Race and Gender in the United States
Taking the Kinks Out of Your Hair and Out of Your Mind: A study on Black hair and the intersections of race and gender in the United States Tyler Berkeley Brewington Senior Comprehensive Thesis Urban and Environmental Policy Professor Bhavna Shamasunder Professor Robert Gottlieb April 19, 2013 Acknowledgements First and foremost, I would like to thank God for giving me the strength to finish this project. All thanks goes to Him for allowing me to develop this project in ways that I didn’t even believe were possible. Secondly, I would like to thank my family and friends for supporting me through this process. Thank you for helping me edit my thesis, for sharing links about natural hair with me, and for connecting me with people to interview. Your love and support enable me to do everything – I am nothing without you! I would also like to thank Professor Shamasunder for being an amazing advisor and for always being there for me. Thank you for all of our office hours sessions, for your critical eye, and also for supporting this project from day one. I appreciate you so much! Also, I would like to thank Professor Gottlieb for helping me remain calm and thinking about the important body of work that I am producing. Thank you also for being such a great advisor to me throughout the years and for helping me find my passion! Finally, I would like to dedicate this report to “all the colored girls who considered going natural when the relaxer is enuf.” Thank you for inspiring me to go natural, this project would not have been possible without you. -
Geometric Optics 1 7.1 Overview
Contents III OPTICS ii 7 Geometric Optics 1 7.1 Overview...................................... 1 7.2 Waves in a Homogeneous Medium . 2 7.2.1 Monochromatic, Plane Waves; Dispersion Relation . ........ 2 7.2.2 WavePackets ............................... 4 7.3 Waves in an Inhomogeneous, Time-Varying Medium: The Eikonal Approxi- mationandGeometricOptics . .. .. .. 7 7.3.1 Geometric Optics for a Prototypical Wave Equation . ....... 8 7.3.2 Connection of Geometric Optics to Quantum Theory . ..... 11 7.3.3 GeometricOpticsforaGeneralWave . .. 15 7.3.4 Examples of Geometric-Optics Wave Propagation . ...... 17 7.3.5 Relation to Wave Packets; Breakdown of the Eikonal Approximation andGeometricOptics .......................... 19 7.3.6 Fermat’sPrinciple ............................ 19 7.4 ParaxialOptics .................................. 23 7.4.1 Axisymmetric, Paraxial Systems; Lenses, Mirrors, Telescope, Micro- scopeandOpticalCavity. 25 7.4.2 Converging Magnetic Lens for Charged Particle Beam . ....... 29 7.5 Catastrophe Optics — Multiple Images; Formation of Caustics and their Prop- erties........................................ 31 7.6 T2 Gravitational Lenses; Their Multiple Images and Caustics . ...... 39 7.6.1 T2 Refractive-Index Model of Gravitational Lensing . 39 7.6.2 T2 LensingbyaPointMass . .. .. 40 7.6.3 T2 LensingofaQuasarbyaGalaxy . 42 7.7 Polarization .................................... 46 7.7.1 Polarization Vector and its Geometric-Optics PropagationLaw. 47 7.7.2 T2 GeometricPhase .......................... 48 i Part III OPTICS ii Optics Version 1207.1.K.pdf, 28 October 2012 Prior to the twentieth century’s quantum mechanics and opening of the electromagnetic spectrum observationally, the study of optics was concerned solely with visible light. Reflection and refraction of light were first described by the Greeks and further studied by medieval scholastics such as Roger Bacon (thirteenth century), who explained the rain- bow and used refraction in the design of crude magnifying lenses and spectacles.