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Computer Vision Beyond the Visible Spectrum Softcover reprint of hardcover 1st ed. 2005 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 320 pages, height x width: 235x155 mm, weight: 510 g, 5 Illustrations, color; 151 Illustrations, black and white; X, 320 p. 156 illus., 5 illus. in color., 1 Paperback / softback
  • Sērija : Advances in Computer Vision and Pattern Recognition
  • Izdošanas datums: 21-Oct-2010
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 184996887X
  • ISBN-13: 9781849968874
  • Mīkstie vāki
  • Cena: 136,16 €*
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  • Formāts: Paperback / softback, 320 pages, height x width: 235x155 mm, weight: 510 g, 5 Illustrations, color; 151 Illustrations, black and white; X, 320 p. 156 illus., 5 illus. in color., 1 Paperback / softback
  • Sērija : Advances in Computer Vision and Pattern Recognition
  • Izdošanas datums: 21-Oct-2010
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 184996887X
  • ISBN-13: 9781849968874
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.
Chapter 1 A Theoretical Framework for Predicting Performance of Object Recognition
1(38)
Michael Boshra
Bir Bhanu
Chapter 2 Methods for Improving the Performance of an SAR Recognition System
39(32)
Bir Bhanu
Grinnell Jones III
Chapter 3 Three-Dimensional Laser Radar Recognition Approaches
71(44)
Gregory Arnold
Timothy J. Klausutis
Kirk Sturtz
Chapter 4 Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery
115(26)
Heesung Kwon
Sandor Z. Der
Nasser M. Nasrabadi
Chapter 5 Moving Object Detection and Compression in IR Sequences
141(26)
Namrata Vaswani
Amit K Agrawal
Qinfen Zheng
Rama Chellappa
Chapter 6 Face Recognition in the Thermal Infrared
167(26)
Lawrence B. Wolff
Diego A. Socolinsky
Christopher K. Eveland
Chapter 7 Cardiovascular MR Image Analysis
193(48)
Milan Sonka
Daniel R. Thedens
Boudewijn P. F. Lelieveldt
Steven C. Mitchell
Rob J. van der Geest
Johan H. C. Reiber
Chapter 8 Visualization and Segmentation Techniques in 3D Ultrasound Images
241(30)
Aaron Fenster
Mingyue Ding
Ning Hu
Hanif M. Ladak
Guokuan Li
Neale Cardinal
Donal B. Downey
Chapter 9 Time-Frequency Analysis in Terahertz-Pulsed Imaging
271(42)
Elizabeth Berry
Roger D Boyle
Anthony J Fitzgerald
James W Handley
Index 313