Imaging Spectroscopy for Scene Analysis
Seiten
2012
Springer London Ltd (Verlag)
978-1-4471-4651-3 (ISBN)
Springer London Ltd (Verlag)
978-1-4471-4651-3 (ISBN)
This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding. Features: discusses spectral image acquisition by hyperspectral cameras, and the process of spectral image formation;
This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding. The opportunities and challenges of combining spatial and spectral information are explored in depth, as are a wide range of applications. Features: discusses spectral image acquisition by hyperspectral cameras, and the process of spectral image formation; examines models of surface reflectance, the recovery of photometric invariants, and the estimation of the illuminant power spectrum from spectral imagery; describes spectrum representations for the interpolation of reflectance and radiance values, and the classification of spectra; reviews the use of imaging spectroscopy for material identification; explores the recovery of reflection geometry from image reflectance; investigates spectro-polarimetric imagery, and the recovery of object shape and material properties using polarimetric images captured froma single view.
This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding. The opportunities and challenges of combining spatial and spectral information are explored in depth, as are a wide range of applications. Features: discusses spectral image acquisition by hyperspectral cameras, and the process of spectral image formation; examines models of surface reflectance, the recovery of photometric invariants, and the estimation of the illuminant power spectrum from spectral imagery; describes spectrum representations for the interpolation of reflectance and radiance values, and the classification of spectra; reviews the use of imaging spectroscopy for material identification; explores the recovery of reflection geometry from image reflectance; investigates spectro-polarimetric imagery, and the recovery of object shape and material properties using polarimetric images captured froma single view.
Dr. Antonio Robles-Kelly is a Principal Researcher at NICTA, where he leads the Spectral Imaging project. He is also an Adjunct Associate Professor at the Australian National University and Conjoint Senior Lecturer at the University of New South Wales, Australia. Dr. Cong Phuoc Huynh is a Researcher at NICTA, and an Adjunct Research Fellow at the Australian National University, Australia.
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.
| Reihe/Serie | Advances in Pattern Recognition |
|---|---|
| Zusatzinfo | XVIII, 270 p. |
| Verlagsort | England |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | computer vision • Imaging Spectroscopy • pattern recognition • Scene Analysis • Spectral Imaging |
| ISBN-10 | 1-4471-4651-4 / 1447146514 |
| ISBN-13 | 978-1-4471-4651-3 / 9781447146513 |
| Zustand | Neuware |
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