3-D Shape Estimation and Image Restoration Exploiting Defocus and Motion-Blur /

Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer three-dimensional information. This useful volume concentrates on motion blur and defocus, which can be exploited to infer the 3-D structure of a scen...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Favaro, Paolo (Autor), Soatto, Stefano (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Temas:
Computer vision.
Image processing-Digital techniques.
Algorithms.
Signal processing.
Computer graphics.
Lasers.
Computer Vision.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Signal, Speech and Image Processing .
Computer Graphics.
Laser.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Basic models of image formation
  • Some analysis: When can 3-D shape be reconstructed from blurred images?
  • Least-squares shape from defocus
  • Enforcing positivity: Shape from defocus and image restoration by minimizing I-divergence
  • Defocus via diffusion: Modeling and reconstruction
  • Dealing with motion: Unifying defocus and motion blur
  • Dealing with multiple moving objects
  • Dealing with occlusions
  • Final remarks.

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