Imaging Spectroscopy for Scene Analysis

• Main Authors: Robles-Kelly, Antonio (Author), Huynh, Cong Phuoc (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2013.
• Series: Advances in Computer Vision and Pattern Recognition,
• Subjects: Computer science.; Image processing.; Pattern recognition.; Computer Science.; Pattern Recognition.; Image Processing and Computer Vision.

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....

Table of Contents:

• 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.