Ebook: 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 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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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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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.
Content:
Front Matter....Pages I-X
A Theoretical Framework for Predicting Performance of Object Recognition....Pages 1-37
Methods for Improving the Performance of an SAR Recognition System....Pages 39-69
Three-Dimensional Laser Radar Recognition Approaches....Pages 71-114
Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery....Pages 115-140
Moving Object Detection and Compression in IR Sequences....Pages 141-165
Face Recognition in the Thermal Infrared....Pages 167-191
Cardiovascular MR Image Analysis....Pages 193-239
Visualization and Segmentation Techniques in 3D Ultrasound Images....Pages 241-269
Time-Frequency Analysis in Terahertz-Pulsed Imaging....Pages 271-311
Back Matter....Pages 313-319

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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.
Content:
Front Matter....Pages I-X
A Theoretical Framework for Predicting Performance of Object Recognition....Pages 1-37
Methods for Improving the Performance of an SAR Recognition System....Pages 39-69
Three-Dimensional Laser Radar Recognition Approaches....Pages 71-114
Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery....Pages 115-140
Moving Object Detection and Compression in IR Sequences....Pages 141-165
Face Recognition in the Thermal Infrared....Pages 167-191
Cardiovascular MR Image Analysis....Pages 193-239
Visualization and Segmentation Techniques in 3D Ultrasound Images....Pages 241-269
Time-Frequency Analysis in Terahertz-Pulsed Imaging....Pages 271-311
Back Matter....Pages 313-319
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