Does Stereopsis Matter in Humans?
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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. -
Teacher Guide
Neuroscience for Kids http://faculty.washington.edu/chudler/neurok.html. Our Sense of Sight: Part 2. Perceiving motion, form, and depth Visual Puzzles Featuring a “Class Experiment” and “Try Your Own Experiment” Teacher Guide WHAT STUDENTS WILL DO · TEST their depth perception using one eye and then two · CALCULATE the class averages for the test perception tests · DISCUSS the functions of depth perception · DEFINE binocular vision · IDENTIFY monocular cues for depth · DESIGN and CONDUCT further experiments on visual perception, for example: · TEST people’s ability to interpret visual illusions · CONSTRUCT and test new visual illusions · DEVISE a “minimum difference test” for visual attention 1 SETTING UP THE LAB Supplies For the Introductory Activity Two pencils or pens for each student For the Class Experiment For each group of four (or other number) students: Measuring tools (cloth tape or meter sticks) Plastic cups, beakers or other sturdy containers Small objects such as clothespins, small legos, paper clips For “Try Your Own Experiment!” Visual illusion figures, found at the end of this Teacher Guide Paper and markers or pens Rulers Other Preparations · For the Class Experiment and Do Your Own Experiment, students can write results on a plain sheet of paper. · Construct a chart on the board where data can be entered for class discussion. · Decide the size of the student groups; three is a convenient number for these experiments—a Subject, a Tester, and a Recorder. Depending on materials available, four or five students can comprise a group. · For “Try Your Own Experiment!,” prepare materials in the Supply list and put them out on an “Explore” table. -
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. -
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. -
Stereoscopic Therapy: Fun Or Remedy?
STEREOSCOPIC THERAPY: FUN OR REMEDY? SARA RAPOSO Abstract (INDEPENDENT SCHOLAR , PORTUGAL ) Once the material of playful gatherings, stereoscop ic photographs of cities, the moon, landscapes and fashion scenes are now cherished collectors’ items that keep on inspiring new generations of enthusiasts. Nevertheless, for a stereoblind observer, a stereoscopic photograph will merely be two similar images placed side by side. The perspective created by stereoscop ic fusion can only be experienced by those who have binocular vision, or stereopsis. There are several caus es of a lack of stereopsis. They include eye disorders such as strabismus with double vision. Interestingly, stereoscopy can be used as a therapy for that con dition. This paper approaches this kind of therapy through the exploration of North American collections of stereoscopic charts that were used for diagnosis and training purposes until recently. Keywords. binocular vision; strabismus; amblyopia; ste- reoscopic therapy; optometry. 48 1. Binocular vision and stone (18021875), which “seem to have access to the visual system at the same stereopsis escaped the attention of every philos time and form a unitary visual impres opher and artist” allowed the invention sion. According to the suppression the Vision and the process of forming im of a “simple instrument” (Wheatstone, ory, both similar and dissimilar images ages, is an issue that has challenged 1838): the stereoscope. Using pictures from the two eyes engage in alternat the most curious minds from the time of as a tool for his study (Figure 1) and in ing suppression at a low level of visual Aristotle and Euclid to the present day. -
Neural Correlates of Convergence Eye Movements in Convergence Insufficiency Patients Vs
Neural Correlates of Convergence Eye Movements in Convergence Insufficiency Patients vs. Normal Binocular Vision Controls: An fMRI Study A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering by Chirag B. Limbachia B.S.B.M.E., Wright State University, 2014 2015 Wright State University Wright State University GRADUATE SCHOOL January 18, 2016 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPER- VISION BY Chirag B. Limbachia ENTITLED Neural Correlates of Convergence Eye Movements in Convergence Insufficiency Patients vs. Normal Binocular Vision Controls: An fMRI Study BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIRE- MENTS FOR THE DEGREE OF Master of Science in Biomedical Engineering. Nasser H. Kashou Thesis Director Jaime E. Ramirez-Vick, Ph.D., Chair, Department of Biomedical, Industrial, and Human Factors Engineering Committee on Final Examination Nasser H. Kashou, Ph.D. Marjean T. Kulp, O.D., M.S., F.A.A.O. Subhashini Ganapathy, Ph.D. Robert E.W. Fyffe, Ph.D. Vice President for Research and Dean of the Graduate School ABSTRACT Limbachia, Chirag. M.S.B.M.E., Department of Biomedical, Industrial, and Human Factor En- gineering, Wright State University, 2015. Neural Correlates of Convergence Eye Movements in Convergence Insufficiency Patients vs. Normal Binocular Vision Controls: An fMRI Study. Convergence Insufficiency is a binocular vision disorder, characterized by reduced abil- ity of performing convergence eye movements. Absence of convergence causes, eye strain, blurred vision, doubled vision, headaches, and difficulty reading due frequent loss of place. These symptoms commonly occur during near work. The purpose of this study was to quantify neural correlates associated with convergence eye movements in convergence in- sufficient (CI) patients vs. -
Relative Importance of Binocular Disparity and Motion Parallax for Depth Estimation: a Computer Vision Approach
remote sensing Article Relative Importance of Binocular Disparity and Motion Parallax for Depth Estimation: A Computer Vision Approach Mostafa Mansour 1,2 , Pavel Davidson 1,* , Oleg Stepanov 2 and Robert Piché 1 1 Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland 2 Department of Information and Navigation Systems, ITMO University, 197101 St. Petersburg, Russia * Correspondence: pavel.davidson@tuni.fi Received: 4 July 2019; Accepted: 20 August 2019; Published: 23 August 2019 Abstract: Binocular disparity and motion parallax are the most important cues for depth estimation in human and computer vision. Here, we present an experimental study to evaluate the accuracy of these two cues in depth estimation to stationary objects in a static environment. Depth estimation via binocular disparity is most commonly implemented using stereo vision, which uses images from two or more cameras to triangulate and estimate distances. We use a commercial stereo camera mounted on a wheeled robot to create a depth map of the environment. The sequence of images obtained by one of these two cameras as well as the camera motion parameters serve as the input to our motion parallax-based depth estimation algorithm. The measured camera motion parameters include translational and angular velocities. Reference distance to the tracked features is provided by a LiDAR. Overall, our results show that at short distances stereo vision is more accurate, but at large distances the combination of parallax and camera motion provide better depth estimation. Therefore, by combining the two cues, one obtains depth estimation with greater range than is possible using either cue individually. -
Care of the Patient with Accommodative and Vergence Dysfunction
OPTOMETRIC CLINICAL PRACTICE GUIDELINE Care of the Patient with Accommodative and Vergence Dysfunction OPTOMETRY: THE PRIMARY EYE CARE PROFESSION Doctors of optometry are independent primary health care providers who examine, diagnose, treat, and manage diseases and disorders of the visual system, the eye, and associated structures as well as diagnose related systemic conditions. Optometrists provide more than two-thirds of the primary eye care services in the United States. They are more widely distributed geographically than other eye care providers and are readily accessible for the delivery of eye and vision care services. There are approximately 36,000 full-time-equivalent doctors of optometry currently in practice in the United States. Optometrists practice in more than 6,500 communities across the United States, serving as the sole primary eye care providers in more than 3,500 communities. The mission of the profession of optometry is to fulfill the vision and eye care needs of the public through clinical care, research, and education, all of which enhance the quality of life. OPTOMETRIC CLINICAL PRACTICE GUIDELINE CARE OF THE PATIENT WITH ACCOMMODATIVE AND VERGENCE DYSFUNCTION Reference Guide for Clinicians Prepared by the American Optometric Association Consensus Panel on Care of the Patient with Accommodative and Vergence Dysfunction: Jeffrey S. Cooper, M.S., O.D., Principal Author Carole R. Burns, O.D. Susan A. Cotter, O.D. Kent M. Daum, O.D., Ph.D. John R. Griffin, M.S., O.D. Mitchell M. Scheiman, O.D. Revised by: Jeffrey S. Cooper, M.S., O.D. December 2010 Reviewed by the AOA Clinical Guidelines Coordinating Committee: David A. -
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.