Normal view MARC view ISBD view

Vision science : photons to phenomenology / Stepen E. Palmer

Main Author Palmer, Stephen E. Country Estados Unidos. Publication Cambridge, Mas. : The MIT Press, cop. 1999 Description XXII, 810 p., [4] f. est. color. : il. ; 27 cm ISBN 0-262-16183-4 CDU 612.84 159.931
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Holdings
Item type Current location Call number Status Date due Barcode Item holds Course reserves
Monografia Biblioteca Geral da Universidade do Minho
BGUM 612.84 - P Não requisitável | Not for loan 256188
Monografia Biblioteca Geral da Universidade do Minho
BGUM 612.84 - P Available 277010
Monografia Biblioteca Geral da Universidade do Minho
BGUM 612.84 - P Available 298318

Licenciatura em Optometria e Ciências da Visão Perceção Visual 1º semestre

Total holds: 0

Enhanced descriptions from Syndetics:

This book revolutionizes how vision can be taught to undergraduate and graduate students in cognitive science, psychology, and optometry. It is the first comprehensive textbook on vision to reflect the integrated computational approach of modern research scientists. This new interdisciplinary approach, called "vision science," integrates psychological, computational, and neuroscientific perspectives.The book covers all major topics related to vision, from early neural processing of image structure in the retina to high-level visual attention, memory, imagery, and awareness. The presentation throughout is theoretically sophisticated yet requires minimal knowledge of mathematics. There is also an extensive glossary, as well as appendices on psychophysical methods, connectionist modeling, and color technology. The book will serve not only as a comprehensive textbook on vision, but also as a valuable reference for researchers in cognitive science, psychology, neuroscience, computer science, optometry, and philosophy.

Table of contents provided by Syndetics

  • Brief Contents
  • Contents
  • Preface
  • Organization of the Book
  • Foundations
  • Spatial Vision
  • Visual Dynamics
  • Tailoring the Book to Different Needs
  • Acknowledgments
  • Part I Foundations
  • 1 An Introduction to Vision Science
  • 1.1 Visual Perception
  • 1.1.1 Defining Visual Perception
  • 1.1.2 The Evolutionary Utility of Vision
  • 1.1.3 Perception as a Constructive Act
  • 1.1.4 Perception as Modeling the Environment
  • 1.1.5 Perception as Apprehension of Meaning
  • 1.2 Optical Information
  • 1.2.1 The Behavior of Light
  • 1.2.2 The Formation of Images
  • 1.2.3 Vision as an "Inverse" Problem
  • 1.3 Visual Systems
  • 1.3.1 The Human Eye
  • 1.3.2 The Retina
  • 1.3.3 Visual Cortex
  • 2 Theoretical Approaches
  • 2.1 Classical Theories of Vision
  • 2.1.1 Structuralism
  • 2.1.2 Gestaltism
  • 2.1.3 Ecological Optics
  • 2.1.4 Constructivism
  • 2.2 A Brief History of Information Processing
  • 2.2.1 Computer Vision
  • 2.2.2 Information Processing Psychology
  • 2.2.3 Biological Information Processing
  • 2.3 Information Processing Theory
  • 2.3.1 The Computer Metaphor
  • 2.3.2 Three Levels of Information Processing
  • 2.3.3 Three Assumptions of Information Processing
  • 2.3.4 Representation
  • 2.3.5 Processes
  • 2.4 Four Stages of Visual Perception
  • 2.4.1 The Retinal Image
  • 2.4.2 The Image-Based Stage
  • 2.4.3 The Surface-Based Stage
  • 2.4.4 The Object-Based Stage
  • 2.4.5 The Category-Based Stage
  • 3 Color Vision: A Microcosm of Vision Science
  • 3.1 The Computational Description of Color Perception
  • 3.1.1 The Physical Description of Light
  • 3.1.2 The Psychological Description of Color
  • 3.1.3 The Psychophysical Correspondence
  • 3.2 Image-Based Color Processing
  • 3.2.1 Basic Phenomena
  • 3.2.2 Theories of Color Vision
  • 3.2.3 Physiological Mechanisms
  • 3.2.4 Development of Color Vision
  • 3.3 Surface-Based Color Processing
  • 3.3.1 Lightness Constancy
  • 3.3.2 Chromatic Color Constancy
  • 3.4 The Category-Based Stage
  • 3.4.1 Color Naming
  • 3.4.2 Focal Colors and Prototypes
  • 3.4.3 A Fuzzy-Logical Model of Color Naming
  • Part II Spatial Vision
  • 4 Processing Image Structure
  • 4.1 Physiological Mechanisms
  • 4.1.1 Retinal and Geniculate Cells
  • 4.1.2 Striate Cortex
  • 4.1.3 Striate Architecture
  • 4.1.4 Development of Receptive Fields
  • 4.2 Psychophysical Channels
  • 4.2.1 Spatial Frequency Theory
  • 4.2.2 Physiology of Spatial Frequency Channels
  • 4.3 Computational Approaches
  • 4.3.1 Marr's Primal Sketches
  • 4.3.2 Edge Detection
  • 4.3.3 Alternative Computational Theories
  • 4.3.4 A Theoretical Synthesis
  • 4.4 Visual Pathways
  • 4.4.1 Physiologlcal Evidence
  • 4.4.2 Perceptual Evidence
  • 5 Perceiving Surfaces Oriented in Depth
  • 5.1 The Problem of Depth Perception
  • 5.1.1 Heuristic Assumptions
  • 5.1.2 Marr's 2.5-D Sketch
  • 5.2 Ocular Information
  • 5.2.1 Accormmodation
  • 5.2.2 Convergence
  • 5.3 Stereoscopic Information
  • 5.3.1 Binocular Disparity
  • 5.3.2 The Correspondence Problem
  • 5.3.3 Computational Theories
  • 5.3.4 Physiological Mechanisms
  • 5.3.5 Vertical Disparity
  • 5.3.6 Da Vinci Stereopsis
  • 5.4 Dynamic Information
  • 5.4.1 Motion Parallax
  • 5.4.2 Optic Flow Caused by a Moving Observer
  • 5.4.3 Optic Flow Caused by Moving Objects
  • 5.4.4 Accretion/Deletion of Texture
  • 5.5 Pictorial Information
  • 5.5.1 Perspective Projection
  • 5.5.2 Convergence of Parallel Lines
  • 5.5.3 Position Relative to the Horizon of a Surface
  • 5.5.4 Relative Size
  • 5.5.5 Familiar Size
  • 5.5.6 Texture Gradients
  • 5.5.7 Edge Interpretation
  • 5.5.8 Shading Information
  • 5.5.9 Aerial Perspective
  • 5.5.10 Integrating Information Sources
  • 5.6 Development of Depth Perception
  • 5.6.1 Ocular Information
  • 5.6.2 Stereoscopic Information
  • 5.6.3 Dynamic Information
  • 5.6.4 Pictorial Information
  • 6 Organizing Objects and Scenes
  • 6.1 Perceptual Grouping
  • 6.1.1 The Classical Principles of Grouping
  • 6.1.2 New Principles of Grouping
  • 6.1.3 Measuring Grouping Effects Quantitatively
  • 6.1.4 Is Grouping an Early or Late Process?
  • 6.1.5 Past Experience
  • 6.2 Region Analysis
  • 6.2.1 Uniform Connectedness
  • 6.2.2 Region Segmentation
  • 6.2.3 Texture Segregation
  • 6.3 Figure/Ground Organization
  • 6.3.1 Principles of Figure/Ground Organization
  • 6.3.2 Ecological Considerations
  • 6.3.3 Effects of Meaningfulness
  • 6.3.4 The Problem of Holes
  • 6.4 Visual Interpolation
  • 6.4.1 Visual Completion
  • 6.4.2 Illusory Contours
  • 6.4.3 Perceived Transparency
  • 6.4.4 Figural Scission
  • 6.4.5 The Principle of Nonaccidentalness
  • 6.5 Multistability
  • 6.5.1 Connectionist Network Models
  • 6.5.2 Neural Fatigue
  • 6.5.3 Eye Fixations
  • 6.5.4 The Role of Instructions
  • 6.6 Development of Perceptual Organization
  • 6.6.1 The Habituation Paradigm
  • 6.6.2 The Development of Grouping
  • 7 Perceiving Object Properties and Parts
  • 7.1 Size
  • 7.1.1 Size Constancy
  • 7.1.2 Size Illusions
  • 7.2 Shape
  • 7.2.1 Shape Constancy
  • 7.2.2 Shape Illusions
  • 7.3 Orientation
  • 7.3.1 Orientation Constancy
  • 7.3.2 Orientation Illusions
  • 7.4 Position
  • 7.4.1 Perception of Direction
  • 7.4.2 Position Constancy
  • 7.4.3 Position Illusions
  • 7.5 Perceptual Adaptation
  • 7.6 Parts
  • 7.6.1 Evidence for Perception of Parts
  • 7.6.2 Part Segmentation
  • 7.6.3 Global and Local Processing
  • 8 Representing Shape and Structure
  • 8.1 Shape Equivalence
  • 8.1.1 Defining Objective Shape
  • 8.1.2 Invariant Features
  • 8.1.3 Transformational Alignment
  • 8.1.4 Object-Centered Reference Frames
  • 8.2 Theories of Shape Representation
  • 8.2.1 Templates
  • 8.2.2 Fourier Spectra
  • 8.2.3 Features and Dimensions
  • 8.2.4 Structural Descriptions
  • 8.3 Figural Goodness and Pragnanz
  • 8.3.1 Theories of Figural Goodness
  • 8.3.2 Structural Information Theory
  • 9 Perceiving Function and Category
  • 9.1 The Perception of Function
  • 9.1.1 Direct Perception of Affordances
  • 9.1.2 Indirect Perception of Function by Categorization
  • 9.2 Phenomena of Perceptual Categorization
  • 9.2.1 Categorical Hierarchies
  • 9.2.2 Perspective Viewing Conditions
  • 9.2.3 Part Structure
  • 9.2.4 Contextual Effects
  • 9.2.5 Visual Agnosia
  • 9.3 Theories of Object Categorization
  • 9.3.1 Recognition by Components Theory
  • 9.3.2 Accounting for Empirical Phenomena
  • 9.3.3 Viewpoint-Specific Theories
  • 9.4 Identifying Letters and Words
  • 9.4.1 Identifying Letters
  • 9.4.2 Identifying Words and Letters Within Words
  • 9.4.3 The Interactive Activation Model
  • Part III Visual Dynamics
  • 10 Perceiving Motion and Events
  • 10.1 Image Motion
  • 10.1.1 The Computational Problem of Motion
  • 10.1.2 Continuous Motion
  • 10.1.3 Apparent Motion
  • 10.1.4 Physiological Mechanisms
  • 10.1.5 Computational Theories
  • 10.2 Object Motion
  • 10.2.1 Perceiving Object Velocity
  • 10.2.2 Depth and Motion
  • 10.2.3 Long-Range Apparent Motion
  • 10.2.4 Dynamic Perceptual Organization
  • 10.3 Self-Motion and Optic Flow
  • 10.3.1 Induced Motion of the Self
  • 10.3.2 Perceiving Self-Motion
  • 10.4 Understanding Events
  • 10.4.1 Biological Motion
  • 10.4.2 Perceiving Causation
  • 10.4.3 Intuitive Physics
  • 11 Visual Selection: Eye Movements And Attention
  • 11.1 Eye Movements
  • 11.1.1 Types Of Eye Movements
  • 11.1.2 The Physiology Of The Oculomotor System
  • 11.1.3 Saccaadic Exploration Of The Visual Environment
  • 11.2 Visual Attention
  • 11.2.1 Early Versus Late Selection
  • 11.2.2 Costs and Benefits of Attention
  • 11.2.3 Theories of Spatial Attention
  • 11.2.4 Selective Attention to Properties
  • 11.2.5 Distributed versus Focused Attention
  • 11.2.6 Feature Integration Theory
  • 11.2.7 The Physiology of Attention
  • 11.2.8 Attention and Eye Movements
  • 12 Visual Memory and Imagery
  • 12.1 Visual Memory
  • 12.1.1 Three Memory Systems
  • 12.1.2 Iconic Memory
  • 12.1.3 Visual Short-Term Memory
  • 12.1.4 Visual Long-Term Memory
  • 12.1.5 Memory Dynamics
  • 12.2 Visual Imagery
  • 12.2.1 The Analog/Propositional Debate
  • 12.2.2 Mental Transformtions
  • 12.2.3 Image Inspection
  • 12.2.4 Kosslyn's Model of Imagery
  • 12.2.5 The Relation of Imagery to Perception
  • 13 Visual Awareness
  • 13.1 Philosophical Foundations
  • 13.1.1 The Mind-Body Problem
  • 13.1.2 The Problem of Other Minds
  • 13.2 Neuropsychology of Visual Awareness
  • 13.2.1 Split-Brain Patients
  • 13.2.2 Blindsight
  • 13.2.3 Unconscious Processing in Neglect and Balint's Syndrome
  • 13.2.4 Unconscious Face Recognition in Prosopagnosia
  • 13.3 Visual Awareness in Normal Observers
  • 13.3.1 Perceptual Defense
  • 13.3.2 Subliminal Perception
  • 13.3.3 Inattentional Blindsight
  • 13.4 Theories of Consciousness
  • 13.4.1 Functional Architecture Theories
  • 13.4.2 Biological Theories
  • 13.4.3 Consciousness and the Limits of Science
  • Appendix A Psychophysical Methods
  • A.1 Measuring Thresholds
  • A.1.1 Method of Adjustment
  • A.1.2 Method of Limits
  • A.1.3 Method of Constant Stimuli
  • A.1.4 The Theoretical Status of Thresholds
  • A.2 Signal Detection Theory
  • A.2.1 Response Bias
  • A.2.2 The Signal Detection Paradigm
  • A.2.3 The Theory of Signal Detectability
  • A.3 Difference Thresholds
  • A.3.1 Just Noticeable Differences
  • A.3.2 Weber's Law
  • A.4 Psychophysical Scaling
  • A.4.1 Fechner's Law
  • A.4.2 Stevens's Law
  • Suggestions for Futher Reading
  • Appendix B Connectionist Modeling
  • B.1 Network Behavior
  • B.1.1 Unit Behavior
  • B.1.2 System Architecture
  • B.1.3 Systemic Behavior
  • B.2 Connectionist Learning Algorithms
  • B.2.1 Back Propagation
  • B.2.2 Gradient Descent
  • Appendix C Color Technology
  • C.1 Additive versus Subtractive Color Mixture
  • C.1.1 Adding versus Multiplying Spectra
  • C.1.2 Maxwell's Color Triangle
  • C.1.3 C.I.E. Color Space
  • C.1.4 Subtractive Color Mixture Space?
  • C.2 Color Television
  • C.3 Paints and Dyes
  • C.3.1 Subtractive Combination of Paints
  • C.3.2 Additive Combination of Paints
  • C.4 Color Photography
  • C.5 Color Printing
  • Suggestions for Further Reading
  • Glossary
  • References
  • Name Index
  • Subject Index

Author notes provided by Syndetics

Stephen E. Palmer is Professor of Psychology and Director of the Institute of Cognitive Studies at the University of California, Berkeley.

There are no comments for this item.

Log in to your account to post a comment.