Overview
- Presents pioneering new research in the area of Computer Vision Beyond the Visible Spectrum (CVBVS) that is taking place in both the commercial and military domains
- A timely publication as interest in this area of computer vision begins to grow
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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About this book
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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Table of contents (9 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Computer Vision Beyond the Visible Spectrum
Editors: Bir Bhanu, Ioannis Pavlidis
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/b138155
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2005
Hardcover ISBN: 978-1-85233-604-2Published: 04 January 2005
Softcover ISBN: 978-1-84996-887-4Published: 21 October 2010
eBook ISBN: 978-1-84628-065-8Published: 30 March 2006
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: X, 320
Number of Illustrations: 151 b/w illustrations, 5 illustrations in colour
Topics: Computer Graphics, Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Electrical Engineering, Neurosciences