Impacts of Stereoscopic Vision
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What Is Wrong with the No-Report Paradigm and How to Fix It Ned Block New York University Correspondence: [email protected]
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PhilPapers Forthcoming in Trends in Cognitive Sciences What is wrong with the no-report paradigm and how to fix it Ned Block New York University Correspondence: [email protected] Key words: consciousness, perception, rivalry, frontal, global workspace, higher order Abstract Is consciousness based in prefrontal circuits involved in cognitive processes like thought, reasoning, and memory or, alternatively, is it based in sensory areas in the back of the neocortex? The no-report paradigm has been crucial to this debate because it aims to separate the neural basis of the cognitive processes underlying post-perceptual decision and report from the neural basis of conscious perception itself. However, the no-report paradigm is problematic because, even in the absence of report, subjects might engage in post-perceptual cognitive processing. Therefore, to isolate the neural basis of consciousness, a no-cognition paradigm is needed. Here, I describe a no-cognition approach to binocular rivalry and outline how this approach can help resolve debates about the neural basis of consciousness. Acknowledgement: Thanks to Jan Brascamp, Susan Carey, Thomas Carlson, David Carmel, David Chalmers, Christof Koch, Hakwan Lau, Matthias Michel, Michael Pitts, Dawid Potgieter and Giulio Tononi for comments on an earlier version. What is the Neural Basis of Consciousness? In recent years the scientific study of consciousness (see Glossary) has focused on finding the neural basis of consciousness in the brain. There are many theories of the neural basis of consciousness, but in broad strokes theories tend to divide on whether consciousness is rooted in the ‘front’ or the ‘back’ of the brain. -
2D to 3D Conversion Using Depth Estimation
International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 4 Issue 01,January-2015 2D to 3D Conversion Using Depth Estimation Hemali Dholariya Jayshree Borad Pooja Shah Archana Khakhariya Student of Student of Student of Student of Integrated M.Sc. Integrated M.Sc. Integrated M.Sc. Integrated M.Sc. (IT) (IT) (IT) (IT) At UTU University At UTU University At UTU University At UTU University Bardoli, Gujarat. Bardoli, Gujarat. Bardoli, Gujarat. Bardoli, Gujarat. Juhi Patel Teaching Assistant of Department of Computer Science and Technology At UTU University Bardoli, Gujarat. Abstract - “Image” is used to indicate the image data that is sampled, Quantized, and readily available in a form suitable for further processing by digital Computers in image processing. For high quality stereoscopic images, the conversion of 2D images to 3D achieves the growing need.Robotics branch is the main area of depth-map application. In this review paper, we relate how 2D to 3D conversion using Depth Estimation works and where it is convenient in actual world. We compare different algorithms likeMarkov Random Field(MRF), Modulation Transfer Function(MTF), Image fusion, Local Depth Hypothesis,Predicted Semantic Labels,3DTV Using DepthIJERT IJERT Map Generation and Virtual View Synthesis.We find out some issues of 2D to 3D conversion. Keywords: MRF, MTF, Image Fusion, Squeeze function,SVM Figure 1: Difference between 2D and 3D image 1. INTRODUCTION 3D Reconstructions are carry out by two ways such as, User-defined strokes correlate to a rough depth estimate values in the scene are explained for the image of interest is 1) Single image 3D Reconstruction said to be 2D to 3D conversion. -
CS 534: Computer Vision Stereo Imaging Outlines
CS 534 A. Elgammal Rutgers University CS 534: Computer Vision Stereo Imaging Ahmed Elgammal Dept of Computer Science Rutgers University CS 534 – Stereo Imaging - 1 Outlines • Depth Cues • Simple Stereo Geometry • Epipolar Geometry • Stereo correspondence problem • Algorithms CS 534 – Stereo Imaging - 2 1 CS 534 A. Elgammal Rutgers University Recovering the World From Images We know: • 2D Images are projections of 3D world. • A given image point is the projection of any world point on the line of sight • So how can we recover depth information CS 534 – Stereo Imaging - 3 Why to recover depth ? • Recover 3D structure, reconstruct 3D scene model, many computer graphics applications • Visual Robot Navigation • Aerial reconnaissance • Medical applications The Stanford Cart, H. Moravec, 1979. The INRIA Mobile Robot, 1990. CS 534 – Stereo Imaging - 4 2 CS 534 A. Elgammal Rutgers University CS 534 – Stereo Imaging - 5 CS 534 – Stereo Imaging - 6 3 CS 534 A. Elgammal Rutgers University Motion parallax CS 534 – Stereo Imaging - 7 Depth Cues • Monocular Cues – Occlusion – Interposition – Relative height: the object closer to the horizon is perceived as farther away, and the object further from the horizon is perceived as closer. – Familiar size: when an object is familiar to us, our brain compares the perceived size of the object to this expected size and thus acquires information about the distance of the object. – Texture Gradient: all surfaces have a texture, and as the surface goes into the distance, it becomes smoother and finer. – Shadows – Perspective – Focus • Motion Parallax (also Monocular) • Binocular Cues • In computer vision: large research on shape-from-X (should be called depth from X) CS 534 – Stereo Imaging - 8 4 CS 534 A. -
Real-Time 2D to 3D Video Conversion Using Compressed Video Based on Depth-From Motion and Color Segmentation
International Journal of Latest Trends in Engineering and Technology (IJLTET) Real-Time 2D to 3D Video Conversion using Compressed Video based on Depth-From Motion and Color Segmentation N. Nivetha Research Scholar, Dept. of MCA, VELS University, Chennai. Dr.S.Prasanna, Asst. Prof, Dept. of MCA, VELS University, Chennai. Dr.A.Muthukumaravel, Professor & Head, Department of MCA, BHARATH University, Chennai. Abstract :- This paper provides the conversion of two dimensional (2D) to three dimensional (3D) video. Now-a-days the three dimensional video are becoming more popular, especially at home entertainment. For converting 2D to 3D, the conversion techniques are used so able to deliver the 3D videos efficiently and effectively. In this paper, block matching based depth from motion estimation and color segmentation is used for presenting the video conversion scheme i.e., automatic monoscopic video to stereoscopic 3D.To provide a good region boundary information the color based segmentation is used for fuse with block-based depth map for assigning good depth values in every segmented region and eliminating the staircase effect. The experimental results can achieve 3D stereoscopic video output is relatively high quality manner. Keywords - Depth from Motion, 3D-TV, Stereo vision, Color Segmentation. I. INTRODUCTION 3DTV is television that conveys depth perception to the viewer by employing techniques such as stereoscopic display, multiview display, 2D-plus depth, or any other form of 3D display. In 2010, 3DTV is widely regarded as one of the next big things and many well-known TV brands such as Sony and Samsung were released 3D- enabled TV sets using shutter glasses based 3D flat panel display technology. -
Research Article
z Available online at http://www.journalcra.com INTERNATIONAL JOURNAL OF CURRENT RESEARCH International Journal of Current Research Vol. 8, Issue, 03, pp.27460-27462, March, 2016 ISSN: 0975-833X RESEARCH ARTICLE A NOVEL APPROACH: 3D CALLING USING HOLOGRAPHIC PRISMS *Sonia Sylvester D’Souza, Aakanksha Arvind Angre, Neha Vijay Nakadi, Rakesh Ramesh More and Sneha Tirth KJ Trinity College of Engineering and Research, Pune, India ARTICLE INFO ABSTRACT Article History: Today, everything from gaming to entertainment, medical sciences to business applications are using Received 20th December, 2015 the 3D technology to capture, store and view the available media. One such technology is holography Received in revised form -It allows a coherent image to be captured in three dimensions, using the Refraction properties of 28th January, 2016 th light. Hence we are proposing a system which will provide a 3D calling service wherein a real-time Accepted 20 February, 2016 2D video will be converted to a three dimensional form which will be diffracted through the edges of Published online 16th March, 2016 the prism. The prism will be constructed along with the system. Two users who wish to communicate Key words: using this 3D calling service need to be equipped with latest smart phones having front cameras and speaker phones. Holography provides the users with a comfortable and natural like viewing Holography, experience, so this technology can be very promising and cost-effective for future commercial Prisms, Refraction, displays. 3D video, Depth cues. Copyright © 2016, Sonia Sylvester D’Souza et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Stereopsis and Stereoblindness
Exp. Brain Res. 10, 380-388 (1970) Stereopsis and Stereoblindness WHITMAN RICHARDS Department of Psychology, Massachusetts Institute of Technology, Cambridge (USA) Received December 20, 1969 Summary. Psychophysical tests reveal three classes of wide-field disparity detectors in man, responding respectively to crossed (near), uncrossed (far), and zero disparities. The probability of lacking one of these classes of detectors is about 30% which means that 2.7% of the population possess no wide-field stereopsis in one hemisphere. This small percentage corresponds to the probability of squint among adults, suggesting that fusional mechanisms might be disrupted when stereopsis is absent in one hemisphere. Key Words: Stereopsis -- Squint -- Depth perception -- Visual perception Stereopsis was discovered in 1838, when Wheatstone invented the stereoscope. By presenting separate images to each eye, a three dimensional impression could be obtained from two pictures that differed only in the relative horizontal disparities of the components of the picture. Because the impression of depth from the two combined disparate images is unique and clearly not present when viewing each picture alone, the disparity cue to distance is presumably processed and interpreted by the visual system (Ogle, 1962). This conjecture by the psychophysicists has received recent support from microelectrode recordings, which show that a sizeable portion of the binocular units in the visual cortex of the cat are sensitive to horizontal disparities (Barlow et al., 1967; Pettigrew et al., 1968a). Thus, as expected, there in fact appears to be a physiological basis for stereopsis that involves the analysis of spatially disparate retinal signals from each eye. Without such an analysing mechanism, man would be unable to detect horizontal binocular disparities and would be "stereoblind". -
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. -
Visible Binocular Beats from Invisible Monocular Stimuli During Binocular Rivalry Thomas A
Brief Communication 1055 Visible binocular beats from invisible monocular stimuli during binocular rivalry Thomas A. Carlson and Sheng He When two qualitatively different stimuli are presented in rivalry [14–16]. Random dot stereograms can be seen at the same time, one to each eye, the stimuli can either superimposed on, but not interacting with two orthogonal integrate or compete with each other. When they gratings engaged in rivalry, a phenomenon that Wolfe compete, one of the two stimuli is alternately termed ‘trinocular vision’ [5]. Hastorf and Myro also suppressed, a phenomenon called binocular rivalry reported that form and color rivalry could be de-coupled [1,2]. When they integrate, observers see some form of from one another ([17]; and see [5,18] for a general review). the combined stimuli. Many different properties (for Nevertheless, there are also challenges to the coexistence example, shape or color) of the two stimuli can induce of stereopsis and rivalry, particularly for the claim that they binocular rivalry. Not all differences result in rivalry, can be perceived at the same spatial location [6,7]. however. Visual ‘beats’, for example, are the result of integration of high-frequency flicker between the two During the experiment, an observer’s left eye was pre- eyes [3,4], and are thus a binocular fusion phenomenon. sented with a red triangle facing left and the right eye a It remains in dispute whether binocular fusion and green triangle facing right (each side of the triangle rivalry can co-exist with one another [5–7]. Here, we extended 2.1° visual angle), and each was illuminated, report that rivalry and beats, two apparently opposing respectively, with red or green light-emitting diodes (LEDs) phenomena, can be perceived at the same time within from behind a plastic diffuser. -
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. -
Binocular Vision
BINOCULAR VISION Rahul Bhola, MD Pediatric Ophthalmology Fellow The University of Iowa Department of Ophthalmology & Visual Sciences posted Jan. 18, 2006, updated Jan. 23, 2006 Binocular vision is one of the hallmarks of the human race that has bestowed on it the supremacy in the hierarchy of the animal kingdom. It is an asset with normal alignment of the two eyes, but becomes a liability when the alignment is lost. Binocular Single Vision may be defined as the state of simultaneous vision, which is achieved by the coordinated use of both eyes, so that separate and slightly dissimilar images arising in each eye are appreciated as a single image by the process of fusion. Thus binocular vision implies fusion, the blending of sight from the two eyes to form a single percept. Binocular Single Vision can be: 1. Normal – Binocular Single vision can be classified as normal when it is bifoveal and there is no manifest deviation. 2. Anomalous - Binocular Single vision is anomalous when the images of the fixated object are projected from the fovea of one eye and an extrafoveal area of the other eye i.e. when the visual direction of the retinal elements has changed. A small manifest strabismus is therefore always present in anomalous Binocular Single vision. Normal Binocular Single vision requires: 1. Clear Visual Axis leading to a reasonably clear vision in both eyes 2. The ability of the retino-cortical elements to function in association with each other to promote the fusion of two slightly dissimilar images i.e. Sensory fusion. 3. The precise co-ordination of the two eyes for all direction of gazes, so that corresponding retino-cortical element are placed in a position to deal with two images i.e. -
From Stereogram to Surface: How the Brain Sees the World in Depth
Spatial Vision, Vol. 22, No. 1, pp. 45–82 (2009) © Koninklijke Brill NV, Leiden, 2009. Also available online - www.brill.nl/sv From stereogram to surface: how the brain sees the world in depth LIANG FANG and STEPHEN GROSSBERG ∗ Department of Cognitive and Neural Systems, Center for Adaptive Systems and Center of Excellence for Learning in Education, Science, and Technology, Boston University, 677 Beacon St., Boston, MA 02215, USA Received 19 April 2007; accepted 31 August 2007 Abstract—When we look at a scene, how do we consciously see surfaces infused with lightness and color at the correct depths? Random-Dot Stereograms (RDS) probe how binocular disparity between the two eyes can generate such conscious surface percepts. Dense RDS do so despite the fact that they include multiple false binocular matches. Sparse stereograms do so even across large contrast-free regions with no binocular matches. Stereograms that define occluding and occluded surfaces lead to surface percepts wherein partially occluded textured surfaces are completed behind occluding textured surfaces at a spatial scale much larger than that of the texture elements themselves. Earlier models suggest how the brain detects binocular disparity, but not how RDS generate conscious percepts of 3D surfaces. This article proposes a neural network model that predicts how the layered circuits of visual cortex generate these 3D surface percepts using interactions between visual boundary and surface representations that obey complementary computational rules. The model clarifies how interactions between layers 4, 3B and 2/3A in V1 and V2 contribute to stereopsis, and proposes how 3D perceptual grouping laws in V2 interact with 3D surface filling-in operations in V1, V2 and V4 to generate 3D surface percepts in which figures are separated from their backgrounds. -
How Does Binocular Rivalry Emerge from Cortical
HOW DOES BINOCULAR RIVALRY EMERGE FROM CORTICAL MECHANISMS OF 3-D VISION? Stephen Grossberg, Arash Yazdanbakhsh, Yongqiang Cao, and Guru Swaminathan1 Department of Cognitive and Neural Systems and Center for Adaptive Systems Boston University 677 Beacon Street, Boston, MA 02215 Phone: 617-353-7858 Fax: 617-353-7755 Submitted: July, 2007 Technical Report CAS/CNS-2007-010 All correspondence should be addressed to Professor Stephen Grossberg Department of Cognitive and Neural Systems Boston University 677 Beacon Street Boston, MA 02215 Phone: 617-353-7858/7857 Fax: 617-353-7755 Email:[email protected] 1 SG was supported in part by the National Science Foundation (NSF SBE-0354378) and the office of Naval Research (ONR N00014-01-1-0624). AY was supported in part by the Air Force Office of Scientific Research (AFOSR F49620-01-1-0397) and the Office of Naval Research (ONR N00014-01-1-0624). YC was supported by the National Science Foundation (NSF SBE-0354378). GS was supported in part by the Air Force Office of Scientific Research (AFOSR F49620-98-1-0108 and F49620-01-1-0397), the National Science Foundation (NSF IIS-97-20333), the Office of Naval Research (ONR N00014-95-1-0657, N00014- 95-1-0409, and N00014-01-1-0624), and the Whitaker Foundation (RG-99-0186). Abstract Under natural viewing conditions, a single depthful percept of the world is consciously seen. When dissimilar images are presented to corresponding regions of the two eyes, binocular rivalry may occur, during which the brain consciously perceives alternating percepts through time. How do the same brain mechanisms that generate a single depthful percept of the world also cause perceptual bistability, notably binocular rivalry? What properties of brain representations correspond to consciously seen percepts? A laminar cortical model of how cortical areas V1, V2, and V4 generate depthful percepts is developed to explain and quantitatively simulate binocular rivalry data.