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....
保存先:
| 主要な著者: | , |
|---|---|
| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | English |
| 出版事項: |
London :
Springer London : Imprint: Springer,
2013.
|
| 版: | 1st ed. 2013. |
| シリーズ: | Advances in Computer Vision and Pattern Recognition,
|
| 主題: | |
| オンライン・アクセス: | https://doi.org/10.1007/978-1-4471-4652-0 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
目次:
- 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.



