Computer Vision Beyond the Visible Spectrum

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Computer Vision Beyond the Visible Spectrum

Bhanu, Bir. - Nama Orang; Pavlidis, Ioannis. - Nama Orang;

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.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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Judul Seri: -
No. Panggil: -
Penerbit: London : Springer., 2005
Deskripsi Fisik: X, 320 p. 156 illus., 5 illus. in color.online resource.
Bahasa: English
ISBN/ISSN: 9781846280658
Klasifikasi: 006.6
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: 1st ed.
Subjek: Artificial intelligence.
Optical data processing.
Image Processing and Computer Vision.
Pattern recognition.
Electrical engineering.
Computer graphics.
Neurosciences.
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Bir Bhanu, Ioannis Pavlidis.

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