A termék adatai:
| ISBN13: | 9781852336042 |
| ISBN10: | 1852336048 |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 320 oldal |
| Méret: | 235x155 mm |
| Súly: | 732 g |
| Nyelv: | angol |
| Illusztrációk: | 151 Illustrations, black & white; 5 Illustrations, color |
| 0 |
Témakör:
Computer Vision Beyond the Visible Spectrum
Sorozatcím:
Advances in Computer Vision and Pattern Recognition;
Kiadás sorszáma: 2005
Kiadó: Springer
Megjelenés dátuma: 2005. január 4.
Kötetek száma: 1 pieces, Book
Normál ár:
Kiadói listaár:
EUR 160.49
EUR 160.49
Az Ön ára:
62 633 (59 650 Ft + 5% áfa )
Kedvezmény(ek): 8% (kb. 5 446 Ft)
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Rövid leírás:
Computer Vision is the area of Artificial Intelligence concerned with modelling and replicating human vision using computer software and hardware. Computer Vision is at the intersection of physiology, biology, psychology, computing and electronics, as it needs knowledge from all of these fields in order to understand and simulate the operation of the human vision system, including the eyes and relevant areas of the brain. This book brings together new research in this field and looks at how image-sensing devices have developed in recent years and how they are now used in a variety of commercial domains.
Hosszú leírás:
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.
Tartalomjegyzék:
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.
