Human and Machine Vision
eBook - PDF

Human and Machine Vision

  1. 580 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Human and Machine Vision

About this book

Human and Machine Vision provides information pertinent to an interdisciplinary program of research in visual perception. This book presents a psychophysical study of the human visual system, which provides insights on how to model the flexibility required by a general-purpose visual system. Organized into 17 chapters, this book begins with an overview of how a visual display is segmented into components on the basis of textual differences. This text then proposes three criteria for judging representations of shape. Other chapters consider an increased use of machine vision programs as models of human vision and of data from human vision in developing programs for machine vision. This book discusses as well the diversity and flexibility of systems for representing visual information. The final chapter deals with dot patterns and discusses the process of interring orientation information from collections of them. This book is a valuable resource for psychologists, neurophysiologists, and computer scientists.

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Yes, you can access Human and Machine Vision by Jacob Beck,Barbara Hope,Azriel Rosenfeld in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
Print ISBN
9780120843206
eBook ISBN
9781483266961
Topic
Mathematics
Subtopic
Mathematics General
Index
Mathematics

Table of contents

  1. Front Cover
  2. Human and Machine Vision
  3. Copyright Page
  4. Table of Contents
  5. Contributors
  6. Preface
  7. Acknowledgments
  8. Chapter 1. A Theory of Textural Segmentation
  9. Chapter 2. Criteria for Representations of Shape
  10. Chapter 3. Contrasts between Human and Machine Vision: Should Technology Recapitulate Phylogeny?
  11. Chapter 4. Flexibility in Representational Systems
  12. Chapter 5. Computing with Connections
  13. Chapter 6. Stimulus Information and Processing Mechanisms in Visual Space Perception
  14. Chapter 7. Mapping Image Properties into Shape Constraints: Skewed Symmetry, Affine-Transformable Patterns, and the Shape-from-Texture Paradigm
  15. Chapter 8. Visual Computation
  16. Chapter 9. The Psychology of Perceptual Organization: A Transformational Approach
  17. Chapter 10. Why the Human Perceiver Is a Bad Machine
  18. Chapter 11. Spatiotemporal Interpolation in Vision
  19. Chapter 12. Isolating Representational Systems
  20. Chapter 13. A Sketch of a (Computational) Theory of Visual Kinesthesis
  21. Chapter 14. Environment-Centered Representation of Spatial Layout: Available Visual Information from Texture and Perspective
  22. Chapter 15. Recent Computational Studies in the Interpretation of Structure from Motion
  23. Chapter 16. On the Role of Structure in Vision
  24. Chapter 17. Computational and Psychophysical Experimentsin Grouping: Early Orientation Selection