Computer Vision Beyond the Visible Spectrum

1. Auflage. Softcover version of original hardcover Auflage 2005
ISBN: 978-1-84996-887-4
Verlag: Springer

Buch, Englisch, 320 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 505 g

Reihe: Advances in Computer Vision and Pattern Recognition

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.

Zielgruppe

Research

Autoren/Hrsg.

Pavlidis, Ioannis

Bhanu, Bir

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Sensorik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

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.