Graphics and Visual Computing
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Technology-Report Visual Computing
Visual Computing Technology Report Vienna, January 2017 Introduction Dear Readers, Vienna is among the top 5 ICT metropolises in Europe. Around 5,800 ICT enterprises generate sales here of around 20 billion euros annually. The approximately 8,900 national and international ICT companies in the "Vienna Region" (Vienna, Lower Austria and Burgenland) are responsible for roughly two thirds of the total turnover of the ICT sector in Austria. According to various studies, Vienna scores especially strongly in innovative power, comprehensive support for start- ups, and a strong focus on sustainability. Vienna also occupies the top positions in multiple "Smart City" rankings. This location is also appealing due to its research- and technology-friendly climate, its geographical and cultural vicinity to the growth markets in the East, the high quality of its infrastructure and education system, and last but not least the best quality of life worldwide. In order to make optimal use of this location's potential, the Vienna Business Agency functions as an information and cooperation platform for Viennese technology developers. It networks enterprises with development partners and leading economic, scientific and municipal administrative customers, and supports the Viennese enterprises with targeted monetary funding and a variety of consulting and service offerings. Support in this area is also provided by the technology platform of the Vienna Business Agency. At technologieplattform.wirtschaftsagentur.at, Vienna businesses and institutions from the field of technology can present their innovative products, services and prototypes as well as their research expertise, and find development partners and pilot customers. The following technology report offers an overview of the many trends and developments in the field of Entertainment Computing. -
Investigating Swirl and Tumble Flow with a Comparison of Visualization Techniques
Investigating Swirl and Tumble Flow with a Comparison of Visualization Techniques Robert S. Laramee∗ Daniel Weiskopf§ Jurgen¨ Schneider¶ Helwig Hauser∗ VRVis Research Center, VIS, University of Stuttgart AVL, Graz VRVis Research Center, Vienna Vienna Figure 1: Visualization of swirl and tumble flow using a combination of direct color-mapping, streamlines, isosurfaces, texture-based flow vi- sualization and slicing. (Left) visualizing swirl flow using 3D streamlines and texture-based flow visualization on an isosurface, (middle-left) a clipping plane is applied to reveal occluded flow structures, (middle-right) an isosurface and 3D streamlines visualize tumble motion, and (right) the addition of texture-based flow visualization on a color-mapped slice. ABSTRACT simulation results. AVL’s own engineers as well as engineers at We investigate two important, common fluid flow patterns from industry affiliates use visualization software to analyze and evaluate computational fluid dynamics (CFD) simulations, namely, swirl the results of their automotive design and simulation. and tumble motion typical of automotive engines. We study and Previously, AVL engineers used a series of several color-mapped visualize swirl and tumble flow using three different flow visual- slices to assess and visualize the results of their CFD simulations. ization techniques: direct, geometric, and texture-based. When Isosurfaces were used less commonly to assess certain 3D features illustrating these methods side-by-side, we describe the relative that could not be investigated sufficiently with 2D slices. Recently, strengths and weaknesses of each approach within a specific spatial new solutions for the visualization of CFD simulation data have dimension and across multiple spatial dimensions typical of an en- been introduced. -
Revolutionizing the Way We Capture, Image and Display the Visual World
Center for Visual Computing Revolutionizing the way we capture, image and display the visual world. At the UC San Diego Center for Visual Computing, we are researching and developing a future in which we can render photograph-quality images instantly on mobile devices. A future in which computers and wearable devices have the ability to see and understand the physical world just as humans do. A future in which real and virtual content merge seamlessly across different platforms. The opportunities in communication, health and medicine, city planning, entertainment, 3-D printing and more are vast… and emerging quickly. To pursue these kinds of research projects at the Center for Visual Computing, we draw together computer graphics, augmented and virtual reality, computational imaging and computer vision. Unique Capabilities and Facilities Our immersive virtual and augmented-reality test beds in UC San Diego’s Qualcomm Institute are an ideal laboratory for our software-intensive work which extends from the theoretical and computational to 3-D immersion. Join us in building this future. Unbuilt Courtyard House by Ludwig Mies van der Rohe. This rendering demon- strates how photon mapping can simulate all types of light scattering. MOBILE VISUAL COMPUTING INTERACTIVE DIGITAL UNDERSTANDING PEOPLE AND AND DIGITAL IMAGING (AUGMENTED) REALITY THEIR SURROUNDINGS • New techniques to capture the visual • Achieving photograph-quality images • Computer vision systems with human- environment via mobile devices at interactive frame rates to enable level -
Pro3d Viewer an Interactive 3D Visualization Tool
PRo3D PRo3D Viewer An interactive 3D visualization tool. An interactive 3D visualization tool. PRo3D, short for Planetary Robotics 3D Viewer, is an interactive 3D visualization tool to allow planetary scientists to work with high-resolution 3D reconstructions of the Martian surface. For the past 5 years, our team geared the development of PRo3D towards providing planetary geologists with interactive tools to digitize geological features on digital outcrop models (DOMs) of the Martian surface. During the fruitful cooperation with geologists from the Imperial College of London, PRo3D has emerged as their main tool to conduct remote geologi- cal analysis, which lead to many publications and talks in the geological science community. Planetary geology is the most elaborately supported use-case of PRo3D; however, we strive to expand our user groups by addressing other use-cases, so we have also developed features for supporting science goals in landing site selection and mission planning. We developed PRo3D within the Aardvark.Media framework as part of the Aardvark Platform for scientific rendering and visualization established and used for many other projects at VRVis. A 3D view of the rock formation “Garden City” on Mars, including dip-and-strike annotations for evaluating layer orientations. PRo3D Features of PRo3D Geological Annotation PRo3D lets users pick points on the 3D surface at the full resolution of the data present. The tools encompass point, line, and polyline annotations, while line segments are projected onto the surface. PRo3D computes various measurements at the highest possible accuracy, such as the distance along a 3D surface or dip-and-strike orientations of sediment structures. -
From Surface Rendering to Volume
What is Computer Graphics? • Computational process of generating images from models and/or datasets using computers • This is called rendering (computer graphics was traditionally considered as a rendering method) • A rendering algorithm converts a geometric model and/or dataset into a picture Department of Computer Science CSE564 Lectures STNY BRK Center for Visual Computing STATE UNIVERSITY OF NEW YORK What is Computer Graphics? This process is also called scan conversion or rasterization How does Visualization fit in here? Department of Computer Science CSE564 Lectures STNY BRK Center for Visual Computing STATE UNIVERSITY OF NEW YORK Computer Graphics • Computer graphics consists of : 1. Modeling (representations) 2. Rendering (display) 3. Interaction (user interfaces) 4. Animation (combination of 1-3) • Usually “computer graphics” refers to rendering Department of Computer Science CSE564 Lectures STNY BRK Center for Visual Computing STATE UNIVERSITY OF NEW YORK Computer Graphics Components Department of Computer Science CSE364 Lectures STNY BRK Center for Visual Computing STATE UNIVERSITY OF NEW YORK Surface Rendering • Surface representations are good and sufficient for objects that have homogeneous material distributions and/or are not translucent or transparent • Such representations are good only when object boundaries are important (in fact, only boundary geometric information is available) • Examples: furniture, mechanical objects, plant life • Applications: video games, virtual reality, computer- aided design Department of -
Simulating Vision Impairments in Virtual and Augmented Reality
Simulating Vision Impairments in Virtual and Augmented Reality DISSERTATION zur Erlangung des akademischen Grades Doktorin der Technischen Wissenschaften eingereicht von Dipl.-Ing. Katharina Krösl, BSc. Matrikelnummer 0325089 an der Fakultät für Informatik der Technischen Universität Wien Betreuung: Associate Prof. Dipl.-Ing. Dipl.-Ing. Dr.techn. Michael Wimmer Zweitbetreuung: Ao.Univ.Prof. Dipl.-Arch. Dr.phil. Georg Suter Diese Dissertation haben begutachtet: Mark Billinghurst Tobias Langlotz Wien, 6. November 2020 Katharina Krösl Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43-1-58801-0 www.tuwien.at Simulating Vision Impairments in Virtual and Augmented Reality DISSERTATION submitted in partial fulfillment of the requirements for the degree of Doktorin der Technischen Wissenschaften by Dipl.-Ing. Katharina Krösl, BSc. Registration Number 0325089 to the Faculty of Informatics at the TU Wien Advisor: Associate Prof. Dipl.-Ing. Dipl.-Ing. Dr.techn. Michael Wimmer Second advisor: Ao.Univ.Prof. Dipl.-Arch. Dr.phil. Georg Suter The dissertation has been reviewed by: Mark Billinghurst Tobias Langlotz Vienna, 6th November, 2020 Katharina Krösl Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43-1-58801-0 www.tuwien.at Erklärung zur Verfassung der Arbeit Dipl.-Ing. Katharina Krösl, BSc. Hiermit erkläre ich, dass ich diese Arbeit selbständig verfasst habe, dass ich die verwen- deten Quellen und Hilfsmittel vollständig angegeben habe und dass ich die Stellen der Arbeit – einschließlich Tabellen, Karten und Abbildungen –, die anderen Werken oder dem Internet im Wortlaut oder dem Sinn nach entnommen sind, auf jeden Fall unter Angabe der Quelle als Entlehnung kenntlich gemacht habe. Wien, 6. November 2020 Katharina Krösl v Acknowledgements First of all, I would like to thank my supervisor Michael Wimmer for giving me the chance to follow my research where ever it led me and supporting me on my journey to becoming an independent researcher. -
Visual Computing in Medicine
9/7/17 Visual Computing in Medicine Hans-Christian Hege Int. Summer School 2017 on Deep Learning and Visual Data Analysis, Ostrava, 07.Sept.2017 Acknowledgements Hans Lamecker Stefan Zachow Dagmar Kainmüller Heiko Ramm Britta Weber Daniel Baum ’ 1 9/7/17 Visual Computing Image-Related Disciplines Data Processing Non-Visual Data Image/Video Analysis Data Acquisition Computer Graphics Computer Vision Computer Animation Imaging VR, AR Data Visualization Visual Data Image/Video Processing 2 9/7/17 Visual Computing source: Wikipedia Visual computing = all computer science disciplines handling images and 3D models, i.e. computer graphics, image processing, visualization, computer vision, virtual and augmented reality, video processing, but also includes aspects of pattern recognition, human computer interaction, machine learning and digital libraries. Core challenges are the acquisition, processing, analysis and rendering of visual information (mainly images and video). Application areas include industrial quality control, medical image processing and visualization, surveying, robotics, multimedia systems, virtual heritage, special effects in movies and television, and computer games. Images (mathematically) Image: • Domain : compact; 2D, 3D; or 2D+t, 3D+t ⇒ video often: • Range : grey values, color values, “hyperspectral” values often: • Practical computing: domain and range are discretized • Domain “sampled” (pixels, voxels) • Range “quantized”, e.g., • Function piecewise constant or smooth interpolant 3 9/7/17 Image Examples (I) Grey value -
Graphics and Visualization (GV)
1 Graphics and Visualization (GV) 2 Computer graphics is the term commonly used to describe the computer generation and 3 manipulation of images. It is the science of enabling visual communication through computation. 4 Its uses include cartoons, film special effects, video games, medical imaging, engineering, as 5 well as scientific, information, and knowledge visualization. Traditionally, graphics at the 6 undergraduate level has focused on rendering, linear algebra, and phenomenological approaches. 7 More recently, the focus has begun to include physics, numerical integration, scalability, and 8 special-purpose hardware, In order for students to become adept at the use and generation of 9 computer graphics, many implementation-specific issues must be addressed, such as file formats, 10 hardware interfaces, and application program interfaces. These issues change rapidly, and the 11 description that follows attempts to avoid being overly prescriptive about them. The area 12 encompassed by Graphics and Visual Computing (GV) is divided into several interrelated fields: 13 • Fundamentals: Computer graphics depends on an understanding of how humans use 14 vision to perceive information and how information can be rendered on a display device. 15 Every computer scientist should have some understanding of where and how graphics can 16 be appropriately applied and the fundamental processes involved in display rendering. 17 • Modeling: Information to be displayed must be encoded in computer memory in some 18 form, often in the form of a mathematical specification of shape and form. 19 • Rendering: Rendering is the process of displaying the information contained in a model. 20 • Animation: Animation is the rendering in a manner that makes images appear to move 21 and the synthesis or acquisition of the time variations of models. -
Visualization and Visual Computing Hong Qin Rm
CSE564 Visualization and Visual Computing Hong Qin Rm. 151, New CS, Department of Computer Science Stony Brook University (SUNY at Stony Brook) Stony Brook, New York 11794-2424 Tel: (631)632-8450; Fax: (631)632-8334 [email protected], or [email protected] http://www.cs.stonybrook.edu/~qin Department of Computer Science CSE564 Lectures STNY BRK Center for Visual Computing STATE UNIVERSITY OF NEW YORK Scientific Visualization Example Department of Computer Science CSE528 Lectures STNY BRK Center for Visual Computing STATE UNIVERSITY OF NEW YORK CSE564 Visualization and Visual Computing • Instructor: Professor Hong Qin ([email protected] or [email protected] ) • Lecture time and place: OLD CS 2120, TuTh 1pm-2:20pm • Office hours: TuTh 2:20pm-4pm, or by appointment (Please feel free to email or chat with me about the course!) • Course home page: www3.cs.stonybrook.edu/~qin/courses/visualization/visualiz ation.html • Be sure to visit the course home page frequently for announcements, handouts, etc. Department of Computer Science CSE564 Lectures STNY BRK Center for Visual Computing STATE UNIVERSITY OF NEW YORK Course Objectives (Synopsis) • Emphasizes a “hands-on” approach to both the better understanding of scientific/information visualization concept/theory/algorithms and the effective utility of scientific/information visualization techniques in various visual computing applications. • Provide a comprehensive knowledge on scientific/information visualization concepts, theory, algorithms, techniques, and applications for data acquisition/simulation procedures, data modeling techniques, commonly-used conventional visualization techniques, visualization and rendering processes, visualization of 2D, volumetric, higher-dimensional, and time-series datasets, human-computer interactions, and other key elements of visual computing. -
4Viennavrvis.Pdf (93.04Kb)
AUSTRIA Vienna VRVis Research Center VRVis Zentrum für Virtual Reality und Visualisierung Forschungs GmbH Donau-City-Straße 1 A-1220 Vienna, Austria ℡ +43-1-20501 30100 " +43-1-20501 30900 ! [email protected] ! www.vrvis.at Core Competence Photorealistic Rendering, Global Illumination, Real- time Rendering, Image Based Rendering, Scientific Financing Visualisation, Information Visualisation, Virtual 60% of the costs of VRVis are funding by the federal Reality, Virtual and Augmented Environments governmant and the City of Vienna, the other 40% are paid by the industry partners. Staff 1 CEO: Georg Stonawski 6 Key researchers (heads of the research areas): Robert Tobler, Konrad Karner, Rainer Wegenkittl, Kresimir Matkovic, Anton Fuhrmann, Helwig Hauser 4 Senior researchers: Stefan Maierhofer, Katja Bühler, Petr Felkel, Robert Kosara 13 Junior researchers: Joachim Bauer, Christopher CEO of the Zach, Andreas Klaus, Mohamed Gouda, Reinhard Research Center Danzl, Rainer Splechtna, Thomas Gatschnegg, André Georg Stonawski Neubauer, Robert Laramee, Zoltan Konyha, Stephan Mantler, Helmut Doleisch, Markus Hadwiger History 1 Technician: Adi Kriegisch VRVis was founded in 2000 as an initiative of the 2 Secretaries: Sylvia Kiss, Christina Winkler Institute of Computer Graphics and Algorithms About 20 additional researchers are contributed by (Werner Purgathofer) of the Vienna University of the industry partners and are working with the VRVis Technology together with several academic and staff on projects. industrial partners. It is a part of the Kplus program in Austria, which provides 60% of funding by the Current Structure and Important Partners City of Vienna and the federal government. The The VRVis is a joint venture in Research & Kplus program has been initiated by the federal Development for virtual reality and visualisation, ministry of education, science and culture to improve undertaken by five academic institutes and renowned cooperation between science and industry in Austria. -
Johannes Sorger Date of Birth
Name: Johannes Sorger Date of Birth: April 21st, 1983 Nationality: Austrian Address: Josefstädter Straße 39, 1080 Wien, Austria Phone: +43(1) 59991609 Email: [email protected] Education 03/2013 – 11/2017: Doctoral program in Engineering and Computer Sciences Institute of Computer Graphics and Algorithms TU Wien (Technical University of Vienna) Dissertation: “Integration Strategies in the Visualization of Multifaceted Spatial Data” Advisors: Assoc.Prof. Dipl.Ing. Dr.techn. Ivan Viola, Ao.Univ.Prof. Dipl.Ing. Dr.techn. Eduard Gröller 10/2009 – 03/2013: Master’s program in Visual Computing Specialization: Real Time Graphics and Visualization TU Wien (Technical University of Vienna) Master Thesis: "Interactive Graph-Visualization of the Fruit Fly’s Neural Circuit" Advisors: Ao.Univ.Prof. Dipl.Ing. Dr.techn. Eduard Gröller, TU Wien Dipl.Ing. Dr.techn. Katja Bühler, VRVis Research Company 2003 – 2009: Bachelor’s program in Media & Computer Science Specialization: Design TU Wien (Technical University of Vienna) Bachelor Project: “Audio-Visual Perception in Interactive Virtual Environments” (in collaboration with INRIA, France), Advisor: Matthias Bernhard, PhD Work Experience 10/2017 – current: Postdoctoral researcher at the Complexity Science Hub Vienna, visualization R&D 01/2016 – 10/2017: Project Assistant at the Institute of Computer Graphics and Algorithms, TU Wien working on basic and applied research in the fields of illustrative and molecular visualization 10/2012 – 01/2016: Researcher at the VRVis Research Company, working on basic and -
Advances in Visual Computing 4Th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008, Proceedings, Part II
R. Boyle, B. Parvin, D. Koracin, F. Porikli, J. Peters, J. Klosowski, L. Arns, Y.K. Chun, T.-M. Rhyne, L. Monroe (Eds.) Advances in Visual Computing 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008, Proceedings, Part II Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, Vol. 5359 The two volume set LNCS 5358 and LNCS 5359 constitutes the refereed proceedings of the 4th International Symposium on Visual Computing, ISVC 2008, held in Las Vegas, NV, USA, in December 2008. The 102 revised full papers and 70 poster papers presented together with 56 full and 8 poster papers of 8 special tracks were carefully reviewed and selected from more than 340 submissions. The papers are organized in topical sections on computer graphics, visualization, shape/recognition, video analysis and event recognition, virtual reality, reconstruction, motion, face/gesture, and computer vision applications. The 8 additional special tracks address issues such as object recognition, real-time vision algorithm 2008, LXXXVIII, 1204 p. In 2 volumes, not implementation and application, computational bioimaging and visualization, discrete available separately. and computational geometry, soft computing in image processing and computer vision, visualization and simulation on immersive display devices, analysis and visualization of biomedical visual data, as well as image analysis for remote sensing data. Printed book Softcover ▶ 144,99 € | £130.50 | $199.00 ▶ *155,14 € (D) | 159,49 € (A) | CHF 193.69 eBook Available from your bookstore or ▶ springer.com/shop MyCopy Printed eBook for just ▶ € | $ 24.99 ▶ springer.com/mycopy Order online at springer.com ▶ or for the Americas call (toll free) 1-800-SPRINGER ▶ or email us at: [email protected].