Introduction to Visualization and Advanced Computer Graphics Jian Huang CS 594 Spring 2002 Visualization A picture is worth more than a thousand words a Chinese proverb A picture is worth more than a thousand numbers It looks like a swirl There are smaller swirls at the edges It has different shades of red at the outside and is mostly green at the inside The smaller swirls have purple highlights The green has also different shades Each small swirl is composed of even smaller ones The swirls go clockwise Inside the object there are also red highlights Those have different shades of red also The green shades vary in a fan while the purple ones are more uni color The green shades get darker towards the outside of the fan Terrain geometry 10 20 21 12 13 14 13 32 12 1 2 3 2 4 5 3 5 6 Terrain Texture 23 34 54 23 34 23 45 26 78 Time 0 Volumetric cloud cover 0 0 12 14 15 15 17 12 23 45 Wind vectors 0 2 0 3 0 93 5 0 4 0 5 0 76 12 Time 1 Volumetric cloud cover 0 0 11 12 13 16 20 12 32 45 Wind vectors 0 4 0 5 0 76 12 0 5 0 5 0 7 6 What Is Visualization seeing is believing we observe and draw conclusions seeing is also understanding beware of illusions magicians What Is Visualization Transformation of data or information into pictures engages primary human sensory apparatus vision What Is Visualization Is a Tool for Aid For Learning Understanding Compact Representation Of Information e g Numbers Carrier of Information Visualization Flavors Scientific Vis User Interfaces data representation processing Algorithms Visual Representations Data Visualization Include financial data and statistical methods Information Visualization Abstract Data WWW documents file structures arbitrary relationships History 1137 earliest known map China 1603 first star charts by Johann Beyer 1637 cartesian coordinate system Descartes History 2 Statistical 1686 first meteorological chart Halley 1693 mortality tables of city of Breslau Halley first attempt to correlate two variables History 3 2D Approx 1750 contour lines height 1817 isotherms temperature 1829 isochromatic lines color 1864 isobars pressure History 4 3D Imaging 1895 X rays by W R ntgen 1898 stereo X rays mackenziedavidson locating foreign bodies in humans 1938 x ray sections or slices 3D 1912 x ray crystallography Laue position of atoms in a crystal History 5 Computer Graphics 1949 SAGE air defense tracked position of aircraft by radar analyzed results and display on CRT 1965 sketchpad Sutherland interactive graphical drawing system Used to be BIG and EXPENSIVE History 6 Scientific Visualiz 1987 NSF report McCormick87 Personal exploratory graphics to enable a scientist to gain more knowledge interact with data Peer graphics enable scientist to show information to their colleagues and to collaborate Presentation graphics communicate information and results high quality fully annotated Publication of visualization enable others to use the data replicable History 7 Augmented Reality 1983 responsive environments Myron Krueger 1995 Cave Visualization Domains Volumetric data sources are usually produced by Scanning devices Computation mathematical or Simple measuring Applications Vis As a Toolkit Application tools usually coupled with Haptic feedback devices Stereo output glasses Interactivity demanding of the rendering algorithm Scanning Domains Medical scanners MRI CT SPECT PET ultrasound Scanning Applications Primary education Medical education for surgery anesthesia Illustration of medical procedures to the patient Scanning Applications Surgical simulation for treatment planning Tele medicine Inter operative visualization in brain surgery biopsies etc Industrial purposes quality control security Games with realistic 3D effects Scanning 2 Domain biological scanners electronic microscopes confocal microscopes Apps paleontology microscopic analysis Scientific Computation Domain Mathematical analysis ODE PDE ordinary and partial differential equations Finite element analysis FE Supercomputer simulations Scientific Computation Apps Computational fluid dynamics CFD Computational field simulations CFS Vector Field Viz Applications Computational Fluid Dynamics Weather modeling Vector Field Visualization Challenges General Goal Display the field s directional information Domain Specific Detect certain features Vortex cores Swirl Streamlines A curves that connect all the particle positions Streamlines cont d Displaying streamlines is a local technique because you can only visualize the flow directions initiated from one or a few particles When the number of streamlines is increased the scene becomes cluttered You need to know where to drop the particle seeds Streamline computation is expensive Measuring Domains Orbiting satellites Spacecraft Seismic devices Statistical Data Measuring Applications for military intelligence weather and atmospheric studies planetary and interplanetary exploration oil precious metal exploitation and earth quake studies Statistical Analysis Info Vis Financial Data Taxonomy Volumes Surfaces io ta t n im S visualization pu m Co Scanners on sampling i t CT MRI Ultrasound Data a z n i l o i e scanning sensors Vox retizat n Seismic o i act ion disc r t cameras x t e a e z fac ali Surolygon Geometric p C model Pat omp ter ut n R er Image Co ecovisi mp gn on ute processing itio rg n rap Image hic Supercomputers s Numerical Simulations signal ul a ti on Display Video Recording Viz vs Graphics vs Imaging Imaging Enhance analyze manipulate and store 2D 3D images Graphics Make pictures Digital Image Synthesis sampling illumination Visualization Exploration transformation viewing data as images Relation To Other Fields Illumination Signal Image Engineering Processing Optics Vision Computational Geometry Visualization Applied Mathematics Hardware User Interfaces Psychology Cognition Our Topics Data representation on various types of grids Rendering of scalar and multi modal data sets Rendering of vector fields and diffusion data sets Efficient iso surfacing algorithms Distance fields and voxelization Parallel graphics and visualization Point based graphics Image based graphics Information visualization Basic geometrical modeling concepts What I expect Good programming skills in C C Can perform a decent quality design Can think mathematically Basic understanding of parallel or distributed computation Can work independently and would like to do innovative work a technical report by end of semester Professional critique and presentation of research
View Full Document
Unlocking...