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Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision

2nd Edition

$115.00 (P)

  • Date Published: April 2004
  • availability: In stock
  • format: Paperback
  • isbn: 9780521540513

$ 115.00 (P)

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About the Authors
  • A basic problem in computer vision is to understand the structure of a real world scene. This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9

    • Thoroughly updated, with over 50 algorithms and lots more extra material
    • Explains the required mathematical background
    • Can be used for graduate courses or as an overview of field
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    Reviews & endorsements

    "The authors have succeeded very well in describing the main techniques in mainstream multiple view geometry, both classical and modern, in a clear and consistent way....I heartily recommend this book." Computing Reviews

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    Product details

    • Edition: 2nd Edition
    • Date Published: April 2004
    • format: Paperback
    • isbn: 9780521540513
    • length: 670 pages
    • dimensions: 248 x 175 x 36 mm
    • weight: 1.465kg
    • contains: 36 colour illus. 35 tables 124 exercises
    • availability: In stock
  • Table of Contents

    1. Introduction - a tour of multiple view geometry
    Part 0. The Background: Projective Geometry, Transformations and Estimation:
    2. Projective geometry and transformations of 2D
    3. Projective geometry and transformations of 3D
    4. Estimation - 2D projective transforms
    5. Algorithm evaluation and error analysis
    Part I. Camera Geometry and Single View Geometry:
    6. Camera models
    7. Computation of the camera matrix
    8. More single view geometry
    Part II. Two-View Geometry:
    9. Epipolar geometry and the fundamental matrix
    10. 3D reconstruction of cameras and structure
    11. Computation of the fundamental matrix F
    12. Structure computation
    13. Scene planes and homographies
    14. Affine epipolar geometry
    Part III. Three-View Geometry:
    15. The trifocal tensor
    16. Computation of the trifocal tensor T
    Part IV. N -View Geometry:
    17. N-linearities and multiple view tensors
    18. N-view computational methods
    19. Auto-calibration
    20. Duality
    21. Chirality
    22. Degenerate configurations
    Part V. Appendices: Appendix 1. Tensor notation
    Appendix 2. Gaussian (normal) and chi-squared distributions
    Appendix 3. Parameter estimation. Appendix 4. Matrix properties and decompositions
    Appendix 5. Least-squares minimization
    Appendix 6. Iterative Estimation Methods
    Appendix 7. Some special plane projective transformations

  • Authors

    Richard Hartley, Australian National University, Canberra

    Andrew Zisserman, University of Oxford

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