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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:
Acceso en línea:Texto Completo

MARC

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505 0 |a 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. 
520 |a 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 Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students. 
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