Computer Vision

Computer Vision

by Christopher W. Tyler
Released January 2011
Publisher(s): Chapman and Hall/CRC
ISBN: 9781439817131

Read it now on the O’Reilly learning platform with a 10-day free trial.

O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial

Book description

The typical computational approach to object understanding derives shape information from the 2D outline of the objects. For complex object structures, however, such a planar approach cannot determine object shape; the structural edges have to be encoded in terms of their full 3D spatial configuration. Computer Vision: From Surfaces to 3D Objects is the first book to take a full approach to the challenging issue of veridical 3D object representation. It introduces mathematical and conceptual advances that offer an unprecedented framework for analyzing the complex scene structure of the world.

An Unprecedented Framework for Complex Object Representation
Presenting the material from both computational and neural implementation perspectives, the book covers novel analytic techniques for all levels of the surface representation problem. The cutting-edge contributions in this work run the gamut from the basic issue of the ground plane for surface estimation through mid-level analyses of surface segmentation processes to complex Riemannian space methods for representing and evaluating surfaces.

State-of-the-Art 3D Surface and Object Representation
This well-illustrated book takes a fresh look at the issue of 3D object representation. It provides a comprehensive survey of current approaches to the computational reconstruction of surface structure in the visual scene.

Table of contents

  1. Front Cover
  2. Table of Contents
  3. Introduction: The Roleof Midlevel Surface Representation in 3D Object Encoding (1/4)
  4. Introduction: The Roleof Midlevel Surface Representation in 3D Object Encoding (2/4)
  5. Introduction: The Roleof Midlevel Surface Representation in 3D Object Encoding (3/4)
  6. Introduction: The Roleof Midlevel Surface Representation in 3D Object Encoding (4/4)
  7. Contributors
  8. Chapter 1. Scene Statistics and 3D Surface Perception (1/5)
  9. Chapter 1. Scene Statistics and 3D Surface Perception (2/5)
  10. Chapter 1. Scene Statistics and 3D Surface Perception (3/5)
  11. Chapter 1. Scene Statistics and 3D Surface Perception (4/5)
  12. Chapter 1. Scene Statistics and 3D Surface Perception (5/5)
  13. Chapter 2. Active Segmentation: A New Approach (1/6)
  14. Chapter 2. Active Segmentation: A New Approach (2/6)
  15. Chapter 2. Active Segmentation: A New Approach (3/6)
  16. Chapter 2. Active Segmentation: A New Approach (4/6)
  17. Chapter 2. Active Segmentation: A New Approach (5/6)
  18. Chapter 2. Active Segmentation: A New Approach (6/6)
  19. Chapter 3. Mechanisms for Propagating Surface Information in 3D Reconstruction (1/3)
  20. Chapter 3. Mechanisms for Propagating Surface Information in 3D Reconstruction (2/3)
  21. Chapter 3. Mechanisms for Propagating Surface Information in 3D Reconstruction (3/3)
  22. Chapter 4. 3D Surface Representation Using Ricci Flow (1/6)
  23. Chapter 4. 3D Surface Representation Using Ricci Flow (2/6)
  24. Chapter 4. 3D Surface Representation Using Ricci Flow (3/6)
  25. Chapter 4. 3D Surface Representation Using Ricci Flow (4/6)
  26. Chapter 4. 3D Surface Representation Using Ricci Flow (5/6)
  27. Chapter 4. 3D Surface Representation Using Ricci Flow (6/6)
  28. Chapter 5. Cue Interpretation and Propagation (1/4)
  29. Chapter 5. Cue Interpretation and Propagation (2/4)
  30. Chapter 5. Cue Interpretation and Propagation (3/4)
  31. Chapter 5. Cue Interpretation and Propagation (4/4)
  32. Chapter 6. Symmetry, Shape, Surfaces, and Objects (1/3)
  33. Chapter 6. Symmetry, Shape, Surfaces, and Objects (2/3)
  34. Chapter 6. Symmetry, Shape, Surfaces, and Objects (3/3)
  35. Chapter 7. NoncommutativeField Theory in the Visual Cortex (1/4)
  36. Chapter 7. NoncommutativeField Theory in the Visual Cortex (2/4)
  37. Chapter 7. NoncommutativeField Theory in the Visual Cortex (3/4)
  38. Chapter 7. NoncommutativeField Theory in the Visual Cortex (4/4)
  39. Chapter 8. Contour-, Surface-, and Object-Related Coding in the Visual Cortex (1/4)
  40. Chapter 8. Contour-, Surface-, and Object-Related Coding in the Visual Cortex (2/4)
  41. Chapter 8. Contour-, Surface-, and Object-Related Coding in the Visual Cortex (3/4)
  42. Chapter 8. Contour-, Surface-, and Object-Related Coding in the Visual Cortex (4/4)
  43. Chapter 9. Visual Surface Encoding (1/4)
  44. Chapter 9. Visual Surface Encoding (2/4)
  45. Chapter 9. Visual Surface Encoding (3/4)
  46. Chapter 9. Visual Surface Encoding (4/4)
  47. Chapter 10. 3D and Spatiotemporal Interpolation in Object and Surface Formation (1/6)
  48. Chapter 10. 3D and Spatiotemporal Interpolation in Object and Surface Formation (2/6)
  49. Chapter 10. 3D and Spatiotemporal Interpolation in Object and Surface Formation (3/6)
  50. Chapter 10. 3D and Spatiotemporal Interpolation in Object and Surface Formation (4/6)
  51. Chapter 10. 3D and Spatiotemporal Interpolation in Object and Surface Formation (5/6)
  52. Chapter 10. 3D and Spatiotemporal Interpolation in Object and Surface Formation (6/6)
  53. Chapter 11. The Perceptual Representationof 3D Shape (1/2)
  54. Chapter 11. The Perceptual Representationof 3D Shape (2/2)
  55. References (1/5)
  56. References (2/5)
  57. References (3/5)
  58. References (4/5)
  59. References (5/5)
  60. Back Cover

Product information

  • Title: Computer Vision
  • Author(s): Christopher W. Tyler
  • Release date: January 2011
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781439817131