Stereoscopic Techniques in Computer Graphics
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Stereoscopic Vision, Stereoscope, Selection of Stereo Pair and Its Orientation
International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Impact Factor (2012): 3.358 Stereoscopic Vision, Stereoscope, Selection of Stereo Pair and Its Orientation Sunita Devi Research Associate, Haryana Space Application Centre (HARSAC), Department of Science & Technology, Government of Haryana, CCS HAU Campus, Hisar – 125 004, India , Abstract: Stereoscope is to deflect normally converging lines of sight, so that each eye views a different image. For deriving maximum benefit from photographs they are normally studied stereoscopically. Instruments in use today for three dimensional studies of aerial photographs. If instead of looking at the original scene, we observe photos of that scene taken from two different viewpoints, we can under suitable conditions, obtain a three dimensional impression from the two dimensional photos. This impression may be very similar to the impression given by the original scene, but in practice this is rarely so. A pair of photograph taken from two cameras station but covering some common area constitutes and stereoscopic pair which when viewed in a certain manner gives an impression as if a three dimensional model of the common area is being seen. Keywords: Remote Sensing (RS), Aerial Photograph, Pocket or Lens Stereoscope, Mirror Stereoscope. Stereopair, Stere. pair’s orientation 1. Introduction characteristics. Two eyes must see two images, which are only slightly different in angle of view, orientation, colour, A stereoscope is a device for viewing a stereoscopic pair of brightness, shape and size. (Figure: 1) Human eyes, fixed on separate images, depicting left-eye and right-eye views of same object provide two points of observation which are the same scene, as a single three-dimensional image. -
Scalable Multi-View Stereo Camera Array for Real World Real-Time Image Capture and Three-Dimensional Displays
Scalable Multi-view Stereo Camera Array for Real World Real-Time Image Capture and Three-Dimensional Displays Samuel L. Hill B.S. Imaging and Photographic Technology Rochester Institute of Technology, 2000 M.S. Optical Sciences University of Arizona, 2002 Submitted to the Program in Media Arts and Sciences, School of Architecture and Planning in Partial Fulfillment of the Requirements for the Degree of Master of Science in Media Arts and Sciences at the Massachusetts Institute of Technology June 2004 © 2004 Massachusetts Institute of Technology. All Rights Reserved. Signature of Author:<_- Samuel L. Hill Program irlg edia Arts and Sciences May 2004 Certified by: / Dr. V. Michael Bove Jr. Principal Research Scientist Program in Media Arts and Sciences ZA Thesis Supervisor Accepted by: Andrew Lippman Chairperson Department Committee on Graduate Students MASSACHUSETTS INSTITUTE OF TECHNOLOGY Program in Media Arts and Sciences JUN 172 ROTCH LIBRARIES Scalable Multi-view Stereo Camera Array for Real World Real-Time Image Capture and Three-Dimensional Displays Samuel L. Hill Submitted to the Program in Media Arts and Sciences School of Architecture and Planning on May 7, 2004 in Partial Fulfillment of the Requirements for the Degree of Master of Science in Media Arts and Sciences Abstract The number of three-dimensional displays available is escalating and yet the capturing devices for multiple view content are focused on either single camera precision rigs that are limited to stationary objects or the use of synthetically created animations. In this work we will use the existence of inexpensive digital CMOS cameras to explore a multi- image capture paradigm and the gathering of real world real-time data of active and static scenes. -
Virtual Reality and Visual Perception by Jared Bendis
Virtual Reality and Visual Perception by Jared Bendis Introduction Goldstein (2002) defines perception as a “conscious sensory experience” (p. 6) and as scientists investigate how the human perceptual system works they also find themselves investigating how the human perceptual system doesn’t work and how that system can be fooled, exploited, and even circumvented. The pioneers in the ability to control the human perceptual system have been in the field of Virtual Realty. In Simulated and Virtual Realities – Elements of Perception, Carr (1995) defines Virtual Reality as “…the stimulation of human perceptual experience to create an impression of something which is not really there” (p. 5). Heilig (2001) refers to this form of “realism” as “experience” and in his 1955 article about “The Cinema of the Future” where he addresses the need to look carefully at perception and breaks down the precedence of perceptual attention as: Sight 70% Hearing 20% Smell 5% Touch 4% Taste 1% (p. 247) Not surprisingly sight is considered the most important of the senses as Leonardo da Vinci observed: “They eye deludes itself less than any of the other senses, because it sees by none other than the straight lines which compose a pyramid, the base of which is the object, and the lines conduct the object to the eye… But the ear is strongly subject to delusions about the location and distance of its objects because the images [of sound] do not reach it in straight lines, like those of the eye, but by tortuous and reflexive lines. … The sense of smells is even less able to locate the source of an odour. -
Interacting with Autostereograms
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/336204498 Interacting with Autostereograms Conference Paper · October 2019 DOI: 10.1145/3338286.3340141 CITATIONS READS 0 39 5 authors, including: William Delamare Pourang Irani Kochi University of Technology University of Manitoba 14 PUBLICATIONS 55 CITATIONS 184 PUBLICATIONS 2,641 CITATIONS SEE PROFILE SEE PROFILE Xiangshi Ren Kochi University of Technology 182 PUBLICATIONS 1,280 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Color Perception in Augmented Reality HMDs View project Collaboration Meets Interactive Spaces: A Springer Book View project All content following this page was uploaded by William Delamare on 21 October 2019. The user has requested enhancement of the downloaded file. Interacting with Autostereograms William Delamare∗ Junhyeok Kim Kochi University of Technology University of Waterloo Kochi, Japan Ontario, Canada University of Manitoba University of Manitoba Winnipeg, Canada Winnipeg, Canada [email protected] [email protected] Daichi Harada Pourang Irani Xiangshi Ren Kochi University of Technology University of Manitoba Kochi University of Technology Kochi, Japan Winnipeg, Canada Kochi, Japan [email protected] [email protected] [email protected] Figure 1: Illustrative examples using autostereograms. a) Password input. b) Wearable e-mail notification. c) Private space in collaborative conditions. d) 3D video game. e) Bar gamified special menu. Black elements represent the hidden 3D scene content. ABSTRACT practice. This learning effect transfers across display devices Autostereograms are 2D images that can reveal 3D content (smartphone to desktop screen). when viewed with a specific eye convergence, without using CCS CONCEPTS extra-apparatus. -
Dualcad : Intégrer La Réalité Augmentée Et Les Interfaces D'ordinateurs De Bureau Dans Un Contexte De Conception Assistée Par Ordinateur
ÉCOLE DE TECHNOLOGIE SUPÉRIEURE UNIVERSITÉ DU QUÉBEC MÉMOIRE PRÉSENTÉ À L’ÉCOLE DE TECHNOLOGIE SUPÉRIEURE COMME EXIGENCE PARTIELLE À L’OBTENTION DE LA MAÎTRISE AVEC MÉMOIRE EN GÉNIE LOGICIEL M. Sc. A. PAR Alexandre MILLETTE DUALCAD : INTÉGRER LA RÉALITÉ AUGMENTÉE ET LES INTERFACES D'ORDINATEURS DE BUREAU DANS UN CONTEXTE DE CONCEPTION ASSISTÉE PAR ORDINATEUR MONTRÉAL, LE 27 AVRIL 2016 Alexandre Millette, 2016 Cette licence Creative Commons signifie qu’il est permis de diffuser, d’imprimer ou de sauvegarder sur un autre support une partie ou la totalité de cette œuvre à condition de mentionner l’auteur, que ces utilisations soient faites à des fins non commerciales et que le contenu de l’œuvre n’ait pas été modifié. PRÉSENTATION DU JURY CE MÉMOIRE A ÉTÉ ÉVALUÉ PAR UN JURY COMPOSÉ DE : M. Michael J. McGuffin, directeur de mémoire Département de génie logiciel et des TI à l’École de technologie supérieure M. Luc Duong, président du jury Département de génie logiciel et des TI à l’École de technologie supérieure M. David Labbé, membre du jury Département de génie logiciel et des TI à l’École de technologie supérieure IL A FAIT L’OBJET D’UNE SOUTENANCE DEVANT JURY ET PUBLIC LE 6 AVRIL 2016 À L’ÉCOLE DE TECHNOLOGIE SUPÉRIEURE AVANT-PROPOS Lorsqu’il m’est venu le temps de choisir si je désirais faire une maîtrise avec ou sans mémoire, les technologies à Réalité Augmentée (RA) étaient encore des embryons de projets, entrepris par des compagnies connues pour leurs innovations, telles que Google avec leur Google Glasses, ou par des compagnies émergentes, telles que META et leur Spaceglasses. -
Algorithms for Single Image Random Dot Stereograms
Displaying 3D Images: Algorithms for Single Image Random Dot Stereograms Harold W. Thimbleby,† Stuart Inglis,‡ and Ian H. Witten§* Abstract This paper describes how to generate a single image which, when viewed in the appropriate way, appears to the brain as a 3D scene. The image is a stereogram composed of seemingly random dots. A new, simple and symmetric algorithm for generating such images from a solid model is given, along with the design parameters and their influence on the display. The algorithm improves on previously-described ones in several ways: it is symmetric and hence free from directional (right-to-left or left-to-right) bias, it corrects a slight distortion in the rendering of depth, it removes hidden parts of surfaces, and it also eliminates a type of artifact that we call an “echo”. Random dot stereograms have one remaining problem: difficulty of initial viewing. If a computer screen rather than paper is used for output, the problem can be ameliorated by shimmering, or time-multiplexing of pixel values. We also describe a simple computational technique for determining what is present in a stereogram so that, if viewing is difficult, one can ascertain what to look for. Keywords: Single image random dot stereograms, SIRDS, autostereograms, stereoscopic pictures, optical illusions † Department of Psychology, University of Stirling, Stirling, Scotland. Phone (+44) 786–467679; fax 786–467641; email [email protected] ‡ Department of Computer Science, University of Waikato, Hamilton, New Zealand. Phone (+64 7) 856–2889; fax 838–4155; email [email protected]. § Department of Computer Science, University of Waikato, Hamilton, New Zealand. -
Stereo 3D (Depth) from 2D
Stereo 3D (Depth) from 2D • 3D information is lost by Viewing Stereo projection. Stereograms • How do we recover 3D Autostereograms information? Depth from Stereo Image 3D Model Depth Cues Shadows: Occlusions: Shading: Size Constancy Perspective Illusions (perspective): Height in Plane: Texture Gradient: 3D from 2D + Accommodation • Accommodation (Focus) • Change in lens curvature • Eye Vengeance according to object depth. • Effective depth: 20-300 cm. • Motion. • Stereo Accommodation Eye Vergence • Change in lens curvature • Change in lens curvature according to object depth. according to object depth. • Effective depth: 20-300 cm. • Effective depth: up to 6 m. Motion: Motion: Stereo Vision • In a system with 2 cameras (eyes), 2 different images are captured. • The "disparity" between the images is larger for closer objects: 1 disp ∝ depth • "Fusion" of these 2 images gives disparities depth information. Left Right Right Eye Left Eye Right Eye Left Eye Image Separation for Stereo • Special Glasses • Red/green images with red/green glasses. • Orthogonal Polarization • Alternating Shuttering Optic System Optic System Parlor Stereo Viewer 1850 Viewmaster 1939 ViduTech 2011 Active Shutter System Red/Green Filters Anaglyphs Anaglyphs How they Work Orthogonal Polarization Orthogonal Polarization Linear Polarizers: 2 polarized projectors are used (or alternating polarization) Orthogonal Polarization Orthogonal Polarization Circular Polarizers: Circular Polarizers: Left handed Right handed Orthogonal Polarization TV and Computer Screens Polarized Glasses Circular Polarizer Glasses: Same as polarizers – but reverse light direction Left handed Right handed Glasses Free TV and Glasses Free TV and Computer Screens Computer Screens Parallax Stereogram Parallax Stereogram Parallax Barrier display Uses Vertical Slits Blocks part of screen from each eye Glasses Free TV and Glasses Free TV and Computer Screens Computer Screens Lenticular lens method Lenticular lens method Uses lens arrays to send different Image to each eye. -
A Review and Selective Analysis of 3D Display Technologies for Anatomical Education
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2018 A Review and Selective Analysis of 3D Display Technologies for Anatomical Education Matthew Hackett University of Central Florida Part of the Anatomy Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Hackett, Matthew, "A Review and Selective Analysis of 3D Display Technologies for Anatomical Education" (2018). Electronic Theses and Dissertations, 2004-2019. 6408. https://stars.library.ucf.edu/etd/6408 A REVIEW AND SELECTIVE ANALYSIS OF 3D DISPLAY TECHNOLOGIES FOR ANATOMICAL EDUCATION by: MATTHEW G. HACKETT BSE University of Central Florida 2007, MSE University of Florida 2009, MS University of Central Florida 2012 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Modeling and Simulation program in the College of Engineering and Computer Science at the University of Central Florida Orlando, Florida Summer Term 2018 Major Professor: Michael Proctor ©2018 Matthew Hackett ii ABSTRACT The study of anatomy is complex and difficult for students in both graduate and undergraduate education. Researchers have attempted to improve anatomical education with the inclusion of three-dimensional visualization, with the prevailing finding that 3D is beneficial to students. However, there is limited research on the relative efficacy of different 3D modalities, including monoscopic, stereoscopic, and autostereoscopic displays. -
Chromostereo.Pdf
ChromoStereoscopic Rendering for Trichromatic Displays Le¨ıla Schemali1;2 Elmar Eisemann3 1Telecom ParisTech CNRS LTCI 2XtremViz 3Delft University of Technology Figure 1: ChromaDepth R glasses act like a prism that disperses incoming light and induces a differing depth perception for different light wavelengths. As most displays are limited to mixing three primaries (RGB), the depth effect can be significantly reduced, when using the usual mapping of depth to hue. Our red to white to blue mapping and shading cues achieve a significant improvement. Abstract The chromostereopsis phenomenom leads to a differing depth per- ception of different color hues, e.g., red is perceived slightly in front of blue. In chromostereoscopic rendering 2D images are produced that encode depth in color. While the natural chromostereopsis of our human visual system is rather low, it can be enhanced via ChromaDepth R glasses, which induce chromatic aberrations in one Figure 2: Chromostereopsis can be due to: (a) longitunal chro- eye by refracting light of different wavelengths differently, hereby matic aberration, focus of blue shifts forward with respect to red, offsetting the projected position slightly in one eye. Although, it or (b) transverse chromatic aberration, blue shifts further toward might seem natural to map depth linearly to hue, which was also the the nasal part of the retina than red. (c) Shift in position leads to a basis of previous solutions, we demonstrate that such a mapping re- depth impression. duces the stereoscopic effect when using standard trichromatic dis- plays or printing systems. We propose an algorithm, which enables an improved stereoscopic experience with reduced artifacts. -
A Novel Walk-Through 3D Display
A Novel Walk-through 3D Display Stephen DiVerdia, Ismo Rakkolainena & b, Tobias Höllerera, Alex Olwala & c a University of California at Santa Barbara, Santa Barbara, CA 93106, USA b FogScreen Inc., Tekniikantie 12, 02150 Espoo, Finland c Kungliga Tekniska Högskolan, 100 44 Stockholm, Sweden ABSTRACT We present a novel walk-through 3D display based on the patented FogScreen, an “immaterial” indoor 2D projection screen, which enables high-quality projected images in free space. We extend the basic 2D FogScreen setup in three ma- jor ways. First, we use head tracking to provide correct perspective rendering for a single user. Second, we add support for multiple types of stereoscopic imagery. Third, we present the front and back views of the graphics content on the two sides of the FogScreen, so that the viewer can cross the screen to see the content from the back. The result is a wall- sized, immaterial display that creates an engaging 3D visual. Keywords: Fog screen, display technology, walk-through, two-sided, 3D, stereoscopic, volumetric, tracking 1. INTRODUCTION Stereoscopic images have captivated a wide scientific, media and public interest for well over 100 years. The principle of stereoscopic images was invented by Wheatstone in 1838 [1]. The general public has been excited about 3D imagery since the 19th century – 3D movies and View-Master images in the 1950's, holograms in the 1960's, and 3D computer graphics and virtual reality today. Science fiction movies and books have also featured many 3D displays, including the popular Star Wars and Star Trek series. In addition to entertainment opportunities, 3D displays also have numerous ap- plications in scientific visualization, medical imaging, and telepresence. -
The Role of Camera Convergence in Stereoscopic Video See-Through Augmented Reality Displays
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 9, No. 8, 2018 The Role of Camera Convergence in Stereoscopic Video See-through Augmented Reality Displays Fabrizio Cutolo Vincenzo Ferrari University of Pisa University of Pisa Dept. of Information Engineering & EndoCAS Center Dept. of Information Engineering & EndoCAS Center Via Caruso 16, 56122, Pisa Via Caruso 16, 56122, Pisa Abstract—In the realm of wearable augmented reality (AR) merged with camera images captured by a stereo camera rig systems, stereoscopic video see-through displays raise issues rigidly fixed on the 3D display. related to the user’s perception of the three-dimensional space. This paper seeks to put forward few considerations regarding the The pixel-wise video mixing technology that underpins the perceptual artefacts common to standard stereoscopic video see- video see-through paradigm can offer high geometric through displays with fixed camera convergence. Among the coherence between virtual and real content. Nevertheless, the possible perceptual artefacts, the most significant one relates to industrial pioneers, as well as the early adopters of AR diplopia arising from reduced stereo overlaps and too large technology properly considered the camera-mediated view screen disparities. Two state-of-the-art solutions are reviewed. typical of video see-through devices as drastically affecting The first one suggests a dynamic change, via software, of the the quality of the visual perception and experience of the real virtual camera convergence, -
Real-Time 3D Head Position Tracker System with Stereo
REAL-TIME 3D HEAD POSITION TRACKER SYSTEM WITH STEREO CAMERAS USING A FACE RECOGNITION NEURAL NETWORK BY JAVIER IGNACIO GIRADO B. Electronics Engineering, ITBA University, Buenos Aires, Argentina, 1982 M. Electronics Engineering, ITBA University, Buenos Aires, Argentina 1984 THESIS Submitted as partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science in the Graduate College of the University of Illinois at Chicago, 2004 Chicago, Illinois ACKNOWLEDGMENTS I arrived at UIC in the winter of 1996, more than seven years ago. I had a lot to learn: how to find my way around a new school, a new city, a new country, a new culture and how to do computer science research. Those first years were very difficult for me and honestly I would not have made it if it were not for my old friends and the new ones I made at the laboratory and my colleagues. There are too many to list them all, so let me juts mention a few examples. I would like to thank my thesis committee (Thomas DeFanti, Daniel Sandin, Andrew Johnson, Jason Leigh and Joel Mambretti) for their unwavering support and assistance. They provided guidance in several areas that helped me accomplish my research goals and were very encouraging throughout the process. I would especially like to thank my thesis advisor Daniel Sandin for laying the foundation of this work and his continuous encouragement and feedback. He has been a constant source of great ideas and useful guidelines during my Thesis’ program. Thanks to Professor J. Ben-Arie for teaching me about science and computer vision.