- •CONTENTS
- •PREFACE
- •Abstract
- •1. Introduction
- •2.1. Differential Geometry of Space Curves
- •2.2. Inverse Problem Formulation
- •2.3. Reconstruction of Unique Space Curves
- •3. Rigid Motion Estimation by Tracking the Space Curves
- •4. Motion Estimation Using Double Stereo Rigs
- •4.1. Single Stereo Rig
- •4.2. Double Stereo Rigs
- •5.1. Space-Time or Virtual Camera Generation
- •5.2. Visual Hull Reconstruction from Silhouettes of Multiple Views
- •5.2.1. Volume Based Visual Hull
- •5.2.1.1. Intersection Test in Octree Cubes
- •5.2.1.2. Synthetic Model Results
- •5.2.2. Edge Base Visual Hull
- •5.2.2.1. Synthetic Model Results
- •Implementation and Exprimental Results
- •Conclusions
- •Acknowledgment
- •References
- •Abstract
- •Introduction: Ocular Dominance
- •Demography of Ocular Dominance
- •A Taxonomy of Ocular Dominance
- •Is Ocular Dominance Test Specific?
- •I. Tests of Rivalry
- •II. Tests of Asymmetry
- •III. Sighting Tests
- •Some Misconceptions
- •Resolving the Paradox of Ocular Dominance
- •Some Clinical Implications of Ocular Dominance
- •Conclusion
- •References
- •Abstract
- •1. Introduction
- •2. Basic Teory
- •3. Bezier Networks for Surface Contouring
- •4. Parameter of the Vision System
- •5. Experimental Results
- •Conclusions
- •References
- •Abstract
- •Introduction
- •Terminology (Definitions)
- •Clinical Assessment
- •Examination Techniques: Motility
- •Ocular Motility Recordings
- •Semiautomatic Analysis of Eye Movement Recordings
- •Slow Eye Movements in Congenital Nystagmus
- •Conclusion
- •References
- •EVOLUTION OF COMPUTER VISION SYSTEMS
- •Abstract
- •Introduction
- •Present-Day Level of CVS Development
- •Full-Scale Universal CVS
- •Integration of CVS and AI Control System
- •Conclusion
- •References
- •Introduction
- •1. Advantages of Binocular Vision
- •2. Foundations of Binocular Vision
- •3. Stereopsis as the Highest Level of Binocular Vision
- •4. Binocular Viewing Conditions on Pupil Near Responses
- •5. Development of Binocular Vision
- •Conclusion
- •References
- •Abstract
- •Introduction
- •Methods
- •Results
- •Discussion
- •Conclusion
- •References
- •Abstract
- •1. Preferential Processing of Emotional Stimuli
- •1.1. Two Pathways for the Processing of Emotional Stimuli
- •1.2. Intensive Processing of Negative Valence or of Arousal?
- •2. "Blind" in One Eye: Binocular Rivalry
- •2.1. What Helmholtz Knew Already
- •2.3. Possible Influences from Non-visual Neuronal Circuits
- •3.1. Significance and Predominance
- •3.2. Emotional Discrepancy and Binocular Rivalry
- •4. Binocular Rivalry Experiments at Our Lab
- •4.1. Predominance of Emotional Scenes
- •4.1.1. Possible Confounds
- •4.2. Dominance of Emotional Facial Expressions
- •4.3. Inter-Individual Differences: Phobic Stimuli
- •4.4. Controlling for Physical Properties of Stimuli
- •4.5. Validation of Self-report
- •4.6. Summary
- •References
- •Abstract
- •1. Introduction
- •2. Algorithm Overview
- •3. Road Surface Estimation
- •3.1. 3D Data Point Projection and Cell Selection
- •3.2. Road Plane Fitting
- •3.2.1. Dominant 2D Straight Line Parametrisation
- •3.2.2. Road Plane Parametrisation
- •4. Road Scanning
- •5. Candidate Filtering
- •6. Experimental Results
- •7. Conclusions
- •Acknowledgements
- •References
- •DEVELOPMENT OF SACCADE CONTROL
- •Abstract
- •1. Introduction
- •2. Fixation and Fixation Stability
- •2.1. Monocular Instability
- •2.2. Binocular Instability
- •2.3. Eye Dominance in Binocular Instability
- •3. Development of Saccade Control
- •3.1. The Optomotor Cycle and the Components of Saccade Control
- •3.4. Antisaccades: Voluntary Saccade Control
- •3.5. The Age Curves of Saccade Control
- •3.6. Left – Right Asymmetries
- •3.7. Correlations and Independence
- •References
- •OCULAR DOMINANCE
- •INDEX
EYE AND VISION RESEARCH DEVELOPMENTS
BINOCULAR VISION:
DEVELOPMENT, DEPTH
PERCEPTION AND DISORDERS
EYE AND VISION RESEARCH
DEVELOPMENTS
Eye Cancer Research Progress
Edwin B. Bospene (Editor)
2008. ISBN: 978-1-60456-045-9
Non-Age Related Macular Degeneration
Enzo B. Mercier
2008. ISBN: 978-1-60456-305-4
Optic Nerve Disease Research Perspectives
Benjamin D. Lewis and Charlie James Davies (Editors)
2008. ISBN: 978-1-60456-490-7
2008. ISBN: 978-1-60741-938-9 (E-book)
New Topics in Eye Research
Lauri Korhonen and Elias Laine (Editors)
2009. ISBN: 978-1-60456-510-2
Eye Infections, Blindness and Myopia
Jeffrey Higgins and Dominique Truax (Editors)
2009. ISBN: 978-1-60692-630-7
Eye Research Developments:
Glaucoma, Corneal Transplantation, and Bacterial Eye Infections
Alan N. Westerhouse (Editor)
2009. ISBN: 978-1-60741-1772
Retinal Degeneration: Causes, Diagnosis and Treatment
Robert B. Catlin (Editor)
2009. ISBN: 978-1-60741-007-2
2009. ISBN: 978-1-60876-442-6 (E-book)
Binocular Vision: Development, Depth Perception and Disorders
Jacques McCoun and Lucien Reeves (Editors)
2010. ISBN: 978-1-60876-547-8
Understanding Corneal Biomechanics through Experimental Assessment and Numerical Simulation
Ahmed Elsheikh
2010. ISBN: 978-1-60876-694-9
Retinitis Pigmentosa: Causes, Diagnosis and Treatment
Michaël Baert and Cédric Peeters (Editors)
2010. ISBN: 978-1-60876-884-4
Color: Ontological Status and Epistemic Role
Anna Storozhuk
2010. ISBN: 978-1-61668-201-9
2010. ISBN: 978-1-61668-608-6 (E-book)
Coherent Effects in Primary Visual Perception
V.D. Svet and A.M. Khazen
2010. ISBN: 978-1-61668-143-2
2010. ISBN: ISBN: 978-1-61668-496-9 (E-book)
Conjunctivitis: Symptoms, Treatment and Prevention
Anna R. Sallinger
2010. ISBN: 978-1-61668-321-4
2010. ISBN: 978-1-61668-443-3 (E-book)
Novel Drug Delivery Approaches in Dry Eye Syndrome Therapy
Slavomira Doktorovová, Eliana B. Souto, Joana R. Araújo,
Maria A. Egea and Marisa L. Garcia
2010. ISBN: 978-1-61668-768-7
2010. ISBN: 978-1-61728-449-6 (E-book)
Pharmacological Treatment of Ocular Inflammatory Diseases
Tais Gratieri, Renata F. V. Lopez, Elisabet Gonzalez-Mira,
Maria A. Egea and Marisa L. Garcia
2010. ISBN: 978-1-61668-772-4
2010. ISBN: 978-1-61728-470-0 (E-book)
Cataracts: Causes, Symptoms, and Surgery
Camila M. Hernandez (Editor)
2010. ISBN: 978-1-61668-955-1
2010. ISBN: 978-1-61728-312-3 (E-book)
EYE AND VISION RESEARCH DEVELOPMENTS
BINOCULAR VISION:
DEVELOPMENT, DEPTH
PERCEPTION AND DISORDERS
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JACQUES MCCOUN
AND
LUCIEN REEVES
EDITORS
Nova Science Publishers, Inc.
New York
Copyright © 2010 by Nova Science Publishers, Inc.
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LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA
Binocular vision : development, depth perception, and disorders / editors, Jacques McCoun and Lucien Reeves.
p. ; cm.
Includes bibliographical references and index. ISBN 978-1-61761-957-1 (eBook)
1. Binocular vision. 2. Binocular vision disorders. 3. Computer vision. 4. Depth perception. I. McCoun, Jacques. II. Reeves, Lucien.
[DNLM: 1. Vision, Binocular--physiology. 2. Dominance, Ocular--physiology. 3. Pattern Recognition, Visual--physiology. 4. Vision Disparity--physiology. WW 400 B6145 2009]
QP487.B56 2009 612.8'4--dc22
2009038663
Published by Nova Science Publishers, Inc. New York
CONTENTS
Preface |
|
ix |
Chapter 1 |
New Trends in Surface Reconstruction Using |
1 |
|
Space-Time Cameras: Fusing Structure |
|
|
from Motion, Silhouette, and Stereo |
|
|
Hossein Ebrahimnezhad and Hassan Ghassemian |
|
Chapter 2 |
Ocular Dominance within Binocular Vision |
63 |
|
Jonathan S. Pointer |
|
Chapter 3 |
Three-Dimensional Vision Based on Binocular |
81 |
|
Imaging and Approximation Networks of a Laser Line |
|
|
J. Apolinar Muñoz-Rodríguez |
|
Chapter 4 |
Eye Movement Analysis in Congenital Nystagmus: |
107 |
|
Concise Parameters Estimation |
|
|
Pasquariello Giulio, Cesarelli Mario, |
|
|
La Gatta Antonio, Bifulco Paolo and Fratini Antonio |
|
Chapter 5 |
Evolution of Computer Vision Systems |
125 |
|
Vladimir Grishin |
|
Chapter 6 |
Binocular Vision and Depth Perception: |
139 |
|
Development and Disorders |
|
Ken Asakawa and Hitoshi Ishikawa
viii |
Contents |
|
|
Chapter 7 |
Repeatability of Prism Dissociation and Tangent Scale |
155 |
|
Near Heterophoria Measurements in Straightforward |
|
|
Gaze and in Downgaze |
|
|
David A. Goss, Douglas K. Penisten, Kirby K. Pitts |
|
|
and Denise A. Burns |
|
Chapter 8 |
Temporarily Blind in One Eye: Emotional Pictures |
161 |
|
Predominate in Binocular Rivalry |
|
|
Georg W. Alpers and Antje B.M. Gerdes |
|
Chapter 9 |
Stereo-Based Candidate Generation for Pedestrian |
189 |
|
Protection Systems |
|
|
David Geronimo, Angel D. Sappa |
|
|
and Antonio M. López |
|
Chapter 10 |
Development of Saccade Control |
209 |
|
Burkhart Fischer |
|
Short Commentary |
247 |
|
|
Ocular Dominance |
|
|
Jonathan S. Pointer |
|
Index |
|
249 |
PREFACE
"Binocular vision" literally means vision with two eyes, and refers to the special attributes of vision with both eyes open, rather than one eye only. Our perception under binocular conditions represents a highly complex coordination of motor and sensory processes and is markedly different from and more sophisticated than vision with one eye alone. This book reviews our ability to use both eyes, while also providing basic information on the development of binocular vision and on the clinical disorders that interfere with our depth perception, such as strabismus and amblyopia. This book also describes the development of eye movement control, particularly those that are important for reading. In addition, the authors of this book review the phenomenon of ocular dominance (OD) in the light of the types of test used to identify it; question whether inter-test agreement of OD in an individual might be anticipated, and address some practical implications of OD as demonstrated in healthy eyes and in cases where there is compromised binocular function. Other chapters in this book disclose new methodologies in congenital nystagmus eye movements analysis and evaluate heterophoria as an important element of assessment of binocular vision disorders.
Three dimensional model reconstruction from image sequences has been extensively used in recent years. The most popular method is known as structure from motion, which employs feature and dense points matching to compute the motion and depth. Chapter 1 is intended to present an overview of new trends in three dimensional model reconstruction using multiple views of object, which has been developed by the authors. Robust curve matching method in stereo cameras for extraction of unique space curves is explained. Unique space curves are constructed from plane curves in stereo images based on curvature and torsion consistency. The shortcoming of outliers in motion estimation is extremely
x |
Jacques McCoun and Lucien Reeves |
|
|
reduced by employing the space curves. Besides, curve matching method deals with pixel range information and does not require the sub-pixel accuracy to compute structure and motion. Furthermore, it finds the correspondence based on curve shape and does not use any photometric information. This property makes the matching process very robust against the color and intensity maladjustment of stereo rigs. The recovered space curves are employed to estimate robust motion by minimizing the curve distance in the next sequence of stereo images. An efficient structure of stereo rigs – perpendicular double stereo – is presented to increase accuracy of motion estimation. Using the robust motion information, a set of exactly calibrated virtual cameras is constructed, which the authors call space-time cameras. Then, the visual hull of object is extracted from intersection of silhouette cones of all virtual cameras. Finally, color information is mapped to the reconstructed surface by inverse projection from two dimensional image sets to three-dimensional space. All together, the authors introduce a complete automatic and practical system of three-dimensional model reconstruction from raw images of arbitrarily moving object captured by fixed calibrated perpendicular double stereo rigs to surface representation. While, the simple methods of motion estimation suffer from the statistical bias due to quantization noise, measurement error, and outliers in the input data set; the complicated system overcomes the bias problem, by fusing several constraints, even in pixellevel information. Experimental results demonstrate the privileged performance of the complicated system for a variety of object shapes and textures.
Ocular dominance (OD) can be defined and identified in a variety of ways. It might be the eye used to sight or aim, or whose input is favoured when there is competing information presented to the two eyes, or the eye whose functional vision appears superior on a given task or under certain conditions. The concept, which has been the subject of much discussion and revision over the past four centuries, continues to excite controversy today. What is becoming evident is that even in its most direct and behaviourally significant manifestation – sighting preference – it must be regarded as a flexible laterality within binocular vision, influenced by the physical circumstances and viewing constraints prevailing at the point of testing.
Chapter 2 will review the phenomenon of OD in the light of the types of test used to identify it; question whether inter-test agreement of OD in an individual might be anticipated; briefly consider the possibility of any relationship between OD and limb or cortical laterality; and speculate whether OD is essentially the product of forced monocular viewing conditions and habitual use of one or other eye. The chapter will conclude with remarks addressing some practical
Preface |
xi |
|
|
implications of OD as demonstrated in healthy eyes and in cases where there is compromised binocular function.
The authors present a review of their computer vision algorithms and binocular imaging for shape detection optical metrology. The study of Chapter 3 involves: laser metrology, binocular image processing, neural networks, and computer vision parameters. In this technique, the object shape is recovered by means of laser scanning and binocular imaging. The binocular imaging avoids occlusions, which appear due to the variation to the object surface. A Bezier approximation network computes the object surface based on the behavior of the laser line. By means of this network, the measurements of the binocular geometry are avoided. The parameters of the binocular imaging are computed based on the Bezier approximation network. Thus, the binocular images of the laser line are processed by the network to compute the object topography. By applying Bezier approximation networks, the performance of the binocular imaging and the accuracy are improved. It is because the errors of the measurement are not added to the computational procedure, which performs the shape reconstruction. This procedure represents a contribution for the stripe projection methods and the binocular imaging. To describe the accuracy a mean square error is calculated. This technique is tested with real objects and its experimental results are presented. Also, the time processing is described.
Along with other diseases that can affect binocular vision, reducing the visual quality of a subject, Congenital Nystagmus (CN) is of peculiar interest. CN is an ocular-motor disorder characterized by involuntary, conjugated ocular oscillations and, while identified more than forty years ago, its pathogenesis is still under investigation. This kind of nystagmus is termed congenital (or infantile) since it could be present at birth or it can arise in the first months of life. The majority of CN patients show a considerable decrease of their visual acuity: image fixation on the retina is disturbed by nystagmus continuous oscillations, mainly horizontal. However, the image of a given target can still be stable during short periods in which eye velocity slows down while the target image is placed onto the fovea (called foveation intervals). To quantify the extent of nystagmus, eye movement recordings are routinely employed, allowing physicians to extract and analyze nystagmus main features such as waveform shape, amplitude and frequency. Use
of eye movement recording, opportunely processed, allows computing “estimated
visual acuity” predictors, which are analytical functions that estimate expected visual acuity using signal features such as foveation time and foveation position variability. Hence, it is fundamental to develop robust and accurate methods to measure both those parameters in order to obtain reliable values from the predictors. In this chapter the current methods to record eye movements in
xii |
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|
|
subjects with congenital nystagmus will be discussed and the present techniques to accurately compute foveation time and eye position will be presented.
Chapter 4 aims to disclose new methodologies in congenital nystagmus eye movements analysis, in order to identify nystagmus cycles and to evaluate foveation time, reducing the influence of repositioning saccades and data noise on the critical parameters of the estimation functions. Use of those functions extends the information acquired with typical visual acuity measurement (e.g., Landolt C test) and could be a support for treatment planning or therapy monitoring.
In Chapter 5, applications of computer vision systems (CVS) in the flight control of unmanned aerial vehicles (UAV) are considered. In many projects, CVS are used for precision navigation, angular and linear UAV motion measurement, landing (in particular shipboard landing), homing guidance and others. All these tasks have been successfully solved separately in various projects. The development of perspective CVS can be divided into two stages. The first stage of perspective CVS development is the realization of all the above tasks in a single full-scale universal CVS with acceptable size, weight and power consumption. Therefore, all UAV flight control tasks can be performed in automatic mode on the base of information that is delivered by CVS. All necessary technologies exist and the degree of its maturity is high. The second stage of CVS development is integration of CVS and control systems with artificial intelligence (AI). This integration will bring two great benefits. Firstly it will allow considerable improvement of CVS performance and reliability due to accumulation of additional information about the environment. Secondly, the AI control system will obtain a high degree of awareness about the state of the environment. This allows the realization of a high degree of control effectiveness of the autonomous AI system in a fast changing and hostile environment.
“Binocular vision” literally means vision with two eyes, and refers to the special attributes of vision with both eyes open, rather than one eye only. Our perception under binocular conditions represents a highly complex coordination of motor and sensory processes and is markedly different from and more sophisticated than vision with one eye alone. However, the use of a pair of eyes can be disrupted by a variety of visual disorders, e.g., incorrect coordination between the two eyes can produce strabismus with its associated sensory problems, amblyopia, suppression and diplopia. What, then, is the reason for-and the advantage of-having two eyes? From our visual information input, we can perceive the world in three dimensions even though the images falling on our two retinas are only two-dimensional. How is this accomplished? Chapter 6 is a review of our ability to use both eyes, while also providing basic information on
Preface |
xiii |
|
|
the development of binocular vision and on the clinical disorders that interfere with our depth perception, such as strabismus and amblyopia.
The evaluation of heterophoria is an important element of assessment of binocular vision disorders. Chapter 7 examined the interexaminer repeatability of two heterophoria measurement methods in a gaze position with no vertical deviation from straightforward position and in 20 degrees downgaze. The two procedures were von Graefe prism dissociation method (VG) and the tangent scale method commonly known as the modified Thorington test (MT). Serving as subjects were 47 young adults, 22 to 35 years of age. Testing distance was 40 cm. A coefficient of repeatability was calculated by multiplying the standard deviation of the difference between the results from two examiners by 1.96. Coefficients of repeatability in prism diopter units were: VG, straightforward, 6.6; VG, downgaze, 6.2; MT, straightforward, 2.8; MT, downgaze, 3.6. The results show a better repeatability for the tangent scale procedure than for the von Graefe prism dissociation method.
As explained in Chapter 8, preferential perception of emotional cues may help an individual to respond quickly and effectively to relevant events. Existing data supports this hypothesis by demonstrating that emotional cues are more quickly detected among neutral distractors. Little data is available to demonstrate that emotional stimuli are also preferentially processed during prolonged viewing. The preferential perception of visual emotional cues is apparent under conditions where different cues compete for perceptual dominance. When two incompatible pictures are presented to one eye each, this results in a perceptual alternation between the pictures, such that only one picture is visible while the other is suppressed. This so called binocular rivalry involves different stages of early visual processing and is thought to be relatively independent from intentional control. Several studies from our laboratory showed that emotional stimuli predominate over neutral stimuli in binocular rivalry. These findings can be interpreted as evidence for preferential processing of emotional cues within the visual system, which extends beyond initial attentional capture. Taken together, data from this paradigm demonstrates that emotional pictures are perceived more intensively.
Chapter 9 describes a stereo-based algorithm that provides candidate image windows to a latter 2D classification stage in an on-board pedestrian detection system. The proposed algorithm, which consists of three stages, is based on the use of both stereo imaging and scene prior knowledge (i.e., pedestrians are on the ground) to reduce the candidate searching space. First, a successful road surface fitting algorithm provides estimates on the relative ground-camera pose. This stage directs the search toward the road area thus avoiding irrelevant regions like
xiv |
Jacques McCoun and Lucien Reeves |
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the sky. Then, three different schemes are used to scan the estimated road surface with pedestrian-sized windows: (a) uniformly distributed through the road surface (3D); (b) uniformly distributed through the image (2D); (c) not uniformly distributed but according to a quadratic function (combined 2D3D). Finally, the set of candidate windows is reduced by analyzing their 3D content. Experimental results of the proposed algorithm, together with statistics of searching space reduction are provided.
Chapter 10 describes the development of eye movement control. The authors will consider, however, only those aspects of eye movements that are important for reading: stability of fixation and control of saccades (fast eye movements from one object of interest to another). The saccadic reflex and the control of saccades by voluntary conscious decision and their role in the optomotor cycle will be explained on the basis of the reaction times and neurophysiological evidence. The diagnostic methods used in the next part of the book will be explained in this chapter. The age curves of the different variables show that the development of the voluntary component of saccade control lasts until adulthood.
The Short Commentary discusses ocular dominance and the rationale behind this phenomenon.
