Multiple view geometry in computer vision /

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A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Hartley, Richard (Autor), Zisserman, Andrew (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, UK ; New York : Cambridge University Press, 2004.
Edición:Second edition.
Temas:
Computer vision.
Geometry, Projective.
Vision par ordinateur.
Géométrie projective.
COMPUTERS > Computer Vision & Pattern Recognition.
Computer vision
Geometry, Projective
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction-a tour of multiple view geometry
  • Projective geometry and transformations of 2D
  • Projective geometry and transformations of 3D
  • Estimation-2D projective transformations
  • Algorithm evaluation and error analysis
  • Camera models
  • Computation of the camera matrix P
  • More single view geometry
  • Epipolar geometry and the fundamental matrix
  • 3D reconstruction of cameras and structure
  • Computation of the fundamental matrix F
  • Structure computation
  • Scene planes and homographies
  • Affine epipolar geometry
  • The trifocal tensor
  • Computation of the trifocal tensor T
  • N-Linearities and multiple view tensors
  • N-View computational methods
  • Auto-calibration
  • Duality
  • Cheirality
  • Degenerate configurations.

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