Imaging Spectroscopy for Scene Analysis

In contrast with trichromatic image sensors, imaging spectroscopy can capture the properties of the materials in a scene. This implies that scene analysis using imaging spectroscopy has the capacity to robustly encode material signatures, infer object composition and recover photometric parameters....

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Robles-Kelly, Antonio. (Tekijä, http://id.loc.gov/vocabulary/relators/aut), Huynh, Cong Phuoc. (http://id.loc.gov/vocabulary/relators/aut)
Yhteisötekijä: SpringerLink (Online service)
Aineistotyyppi: Elektroninen E-kirja
Kieli:English
Julkaistu: London : Springer London : Imprint: Springer, 2013.
Painos:1st ed. 2013.
Sarja:Advances in Computer Vision and Pattern Recognition,
Aiheet:
Linkit:https://doi.org/10.1007/978-1-4471-4652-0
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Sisällysluettelo:
  • Introduction
  • Spectral Image Acquisition
  • Spectral Image Formation Process
  • Reflectance Modelling
  • Illuminant Power Spectrum
  • Photometric Invariance
  • Spectrum Representation
  • Material Discovery
  • Reflection Geometry
  • Polarisation of Light
  • Shape and Refractive Index from Polarisation.