Stereoscopy – Fooling the Brain Into Believing There Is Depth in a Flat Image
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Stereo Capture and Display At
Creation of a Complete Stereoscopic 3D Workflow for SoFA Allison Hettinger and Ian Krassner 1. Introduction 1.1 3D Trend Stereoscopic 3D motion pictures have recently risen to popularity once again following the success of films such as James Cameron’s Avatar. More and more films are being converted to 3D but few films are being shot in 3D. Current available technology and knowledge of that technology (along with cost) is preventing most films from being shot in 3D. Shooting in 3D is an advantage because two slightly different images are produced that mimic the two images the eyes see in normal vision. Many take the cheaper route of shooting in 2D and converting to 3D. This results in a 3D image, but usually nowhere near the quality as if the film was originally shot in 3D. This is because a computer has to create the second image, which can result in errors. It is also important to note that a 3D image does not necessarily mean a stereo image. 3D can be used to describe images that have an appearance of depth, such as 3D animations. Stereo images refer to images that make use of retinal disparity to create the illusion of objects going out of and into the screen plane. Stereo images are optical illusions that make use of several cues that the brain uses to perceive a scene. Examples of monocular cues are relative size and position, texture gradient, perspective and occlusion. These cues help us determine the relative depth positions of objects in an image. Binocular cues such as retinal disparity and convergence are what give the illusion of depth. -
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. -
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. -
Stereoscopic Label Placement
Linköping Studies in Science and Technology Dissertations, No. 1293 Stereoscopic Label Placement Reducing Distraction and Ambiguity in Visually Cluttered Displays Stephen Daniel Peterson Department of Science and Technology Linköping University SE-601 74 Norrköping, Sweden Norrköping, 2009 Stereoscopic Label Placement: Reducing Distraction and Ambiguity in Visually Cluttered Displays Copyright © 2009 Stephen D. Peterson [email protected] Division of Visual Information Technology and Applications (VITA) Department of Science and Technology, Linköping University SE-601 74 Norrköping, Sweden ISBN 978-91-7393-469-5 ISSN 0345-7524 This thesis is available online through Linköping University Electronic Press: www.ep.liu.se Printed by LiU-Tryck, Linköping, Sweden 2009 Abstract With increasing information density and complexity, computer displays may become visually cluttered, adversely affecting overall usability. Text labels can significantly add to visual clutter in graphical user interfaces, but are generally kept legible through specific label placement algorithms that seek visual separation of labels and other ob- jects in the 2D view plane. This work studies an alternative approach: can overlap- ping labels be visually segregated by distributing them in stereoscopic depth? The fact that we have two forward-looking eyes yields stereoscopic disparity: each eye has a slightly different perspective on objects in the visual field. Disparity is used for depth perception by the human visual system, and is therefore also provided by stereoscopic 3D displays to produce a sense of depth. This work has shown that a stereoscopic label placement algorithm yields user per- formance comparable with existing algorithms that separate labels in the view plane. At the same time, such stereoscopic label placement is subjectively rated significantly less disturbing than traditional methods. -
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. -
Visual Secret Sharing Scheme with Autostereogram*
Visual Secret Sharing Scheme with Autostereogram* Feng Yi, Daoshun Wang** and Yiqi Dai Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China Abstract. Visual secret sharing scheme (VSSS) is a secret sharing method which decodes the secret by using the contrast ability of the human visual system. Autostereogram is a single two dimensional (2D) image which becomes a virtual three dimensional (3D) image when viewed with proper eye convergence or divergence. Combing the two technologies via human vision, this paper presents a new visual secret sharing scheme called (k, n)-VSSS with autostereogram. In the scheme, each of the shares is an autostereogram. Stacking any k shares, the secret image is recovered visually without any equipment, but no secret information is obtained with less than k shares. Keywords: visual secret sharing scheme; visual cryptography; autostereogram 1. Introduction In 1979, Blakely and Shamir[1-2] independently invented a secret sharing scheme to construct robust key management scheme. A secret sharing scheme is a method of sharing a secret among a group of participants. In 1994, Naor and Shamir[3] firstly introduced visual secret sharing * Supported by National Natural Science Foundation of China (No. 90304014) ** E-mail address: [email protected] (D.S.Wang) 1 scheme in Eurocrypt’94’’ and constructed (k, n)-threshold visual secret sharing scheme which conceals the original data in n images called shares. The original data can be recovered from the overlap of any at least k shares through the human vision without any knowledge of cryptography or cryptographic computations. With the development of the field, Droste[4] provided a new (k, n)-VSSS algorithm and introduced a model to construct the (n, n)-combinational threshold scheme. -
Multi-Perspective Stereoscopy from Light Fields
Multi-Perspective stereoscopy from light fields The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Changil Kim, Alexander Hornung, Simon Heinzle, Wojciech Matusik, and Markus Gross. 2011. Multi-perspective stereoscopy from light fields. ACM Trans. Graph. 30, 6, Article 190 (December 2011), 10 pages. As Published http://dx.doi.org/10.1145/2070781.2024224 Publisher Association for Computing Machinery (ACM) Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/73503 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike 3.0 Detailed Terms http://creativecommons.org/licenses/by-nc-sa/3.0/ Multi-Perspective Stereoscopy from Light Fields Changil Kim1,2 Alexander Hornung2 Simon Heinzle2 Wojciech Matusik2,3 Markus Gross1,2 1ETH Zurich 2Disney Research Zurich 3MIT CSAIL v u s c Disney Enterprises, Inc. Input Images 3D Light Field Multi-perspective Cuts Stereoscopic Output Figure 1: We propose a framework for flexible stereoscopic disparity manipulation and content post-production. Our method computes multi-perspective stereoscopic output images from a 3D light field that satisfy arbitrary prescribed disparity constraints. We achieve this by computing piecewise continuous cuts (shown in red) through the light field that enable per-pixel disparity control. In this particular example we employed gradient domain processing to emphasize the depth of the airplane while suppressing disparities in the rest of the scene. Abstract tions of autostereoscopic and multi-view autostereoscopic displays even glasses-free solutions become available to the consumer. This paper addresses stereoscopic view generation from a light field. We present a framework that allows for the generation However, the task of creating convincing yet perceptually pleasing of stereoscopic image pairs with per-pixel control over disparity, stereoscopic content remains difficult. -
Fast-Response Switchable Lens for 3D and Wearable Displays
Fast-response switchable lens for 3D and wearable displays Yun-Han Lee, Fenglin Peng, and Shin-Tson Wu* CREOL, The College of Optics and Photonics, University of Central Florida, Orlando, Florida 32816, USA *[email protected] Abstract: We report a switchable lens in which a twisted nematic (TN) liquid crystal cell is utilized to control the input polarization. Different polarization state leads to different path length in the proposed optical system, which in turn results in different focal length. This type of switchable lens has advantages in fast response time, low operation voltage, and inherently lower chromatic aberration. Using a pixelated TN panel, we can create depth information to the selected pixels and thus add depth information to a 2D image. By cascading three such device structures together, we can generate 8 different focuses for 3D displays, wearable virtual/augmented reality, and other head mounted display devices. ©2016 Optical Society of America OCIS codes: (230.3720) Liquid-crystal devices; (080.3620) Lens system design. References and links 1. O. Cakmakci and J. Rolland, “Head-worn displays: a review,” J. Display Technol. 2(3), 199–216 (2006). 2. B. Furht, Handbook of Augmented Reality (Springer, 2011). 3. H. Ren and S. T. Wu, Introduction to Adaptive Lenses (Wiley, 2012). 4. K. Akeley, S. J. Watt, A. R. Girshick, and M. S. Banks, “A stereo display prototype with multiple focal distances,” ACM Trans. Graph. 23(3), 804–813 (2004). 5. S. Liu and H. Hua, “A systematic method for designing depth-fused multi-focal plane three-dimensional displays,” Opt. Express 18(11), 11562–11573 (2010). -
STAR 1200 & 1200XL User Guide
STAR 1200 & 1200XL Augmented Reality Systems User Guide VUZIX CORPORATION VUZIX CORPORATION STAR 1200 & 1200XL – User Guide © 2012 Vuzix Corporation 2166 Brighton Henrietta Town Line Road Rochester, New York 14623 Phone: 585.359.5900 ! Fax: 585.359.4172 www.vuzix.com 2 1. STAR 1200 & 1200XL OVERVIEW ................................... 7! System Requirements & Compatibility .................................. 7! 2. INSTALLATION & SETUP .................................................. 14! Step 1: Accessory Installation .................................... 14! Step 2: Hardware Connections .................................. 15! Step 3: Adjustment ..................................................... 19! Step 4: Software Installation ...................................... 21! Step 5: Tracker Calibration ........................................ 24! 3. CONTROL BUTTON & ON SCREEN DISPLAY ..................... 27! VGA Controller .................................................................... 27! PowerPak+ Controller ......................................................... 29! OSD Display Options ........................................................... 30! 4. STAR HARDWARE ......................................................... 34! STAR Display ...................................................................... 34! Nose Bridge ......................................................................... 36! Focus Adjustment ................................................................ 37! Eye Separation ................................................................... -
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.