Computer Vision Beyond the Visible Spectrum

Recently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bhanu, Bir (Editor ), Pavlidis, Ioannis (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Advances in Computer Vision and Pattern Recognition,
Temas:
Computer graphics.
Computer vision.
Pattern recognition systems.
Artificial intelligence.
Electrical engineering.
Neurosciences.
Computer Graphics.
Computer Vision.
Automated Pattern Recognition.
Artificial Intelligence.
Electrical and Electronic Engineering.
Neuroscience.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • A Theoretical Framework for Predicting Performance of Object Recognition
  • Methods for Improving the Performance of an SAR Recognition System
  • Three-Dimensional Laser Radar Recognition Approaches
  • Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery
  • Moving Object Detection and Compression in IR Sequences
  • Face Recognition in the Thermal Infrared
  • Cardiovascular MR Image Analysis
  • Visualization and Segmentation Techniques in 3D Ultrasound Images
  • Time-Frequency Analysis in Terahertz-Pulsed Imaging.

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