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978-1-84628-065-8 |
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|a 9781846280658
|9 978-1-84628-065-8
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|a 10.1007/b138155
|2 doi
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|a T385
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|a Computer Vision Beyond the Visible Spectrum
|h [electronic resource] /
|c edited by Bir Bhanu, Ioannis Pavlidis.
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|a 1st ed. 2005.
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|a London :
|b Springer London :
|b Imprint: Springer,
|c 2005.
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|a X, 320 p. 156 illus., 5 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
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|a Advances in Computer Vision and Pattern Recognition,
|x 2191-6594
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|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.
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|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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|a Computer graphics.
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|a Computer vision.
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|a Pattern recognition systems.
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|a Artificial intelligence.
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|a Electrical engineering.
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|a Neurosciences.
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|a Computer Graphics.
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|a Computer Vision.
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|a Automated Pattern Recognition.
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|a Artificial Intelligence.
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|a Electrical and Electronic Engineering.
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650 |
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|a Neuroscience.
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|a Bhanu, Bir.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Pavlidis, Ioannis.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer Nature eBook
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776 |
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8 |
|i Printed edition:
|z 9781848007291
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776 |
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|i Printed edition:
|z 9781849968874
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776 |
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8 |
|i Printed edition:
|z 9781852336042
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830 |
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|a Advances in Computer Vision and Pattern Recognition,
|x 2191-6594
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/b138155
|z Texto Completo
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912 |
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-SXCS
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950 |
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|a Computer Science (SpringerNature-11645)
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950 |
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|a Computer Science (R0) (SpringerNature-43710)
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