Computer Vision Beyond the Visible SpectrumBir Bhanu, Ioannis Pavlidis Springer Science & Business Media, 2005. gada 4. janv. - 320 lappuses 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. |
Saturs
A Theoretical Framework for Predicting Performance of Object Recognition | 1 |
Methods for Improving the Performance of an SAR Recognition System | 39 |
ThreeDimensional Laser Radar Recognition Approaches | 71 |
Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery | 115 |
Moving Object Detection and Compression in IR Sequences | 141 |
Face Recognition in the Thermal Infrared | 167 |
Cardiovascular MR Image Analysis | 193 |
Visualization and Segmentation Techniques in 3D Ultrasound Images | 241 |
TimeFrequency Analysis in TerahertzPulsed Imaging | 271 |
313 | |
Citi izdevumi - Skatīt visu
Computer Vision Beyond the Visible Spectrum Bir Bhanu,Ioannis Pavlidis Ierobežota priekšskatīšana - 2006 |
Computer Vision Beyond the Visible Spectrum Bir Bhanu,Ioannis Pavlidis Priekšskatījums nav pieejams - 2009 |
Computer Vision Beyond the Visible Spectrum Bir Bhanu,Ioannis Pavlidis Priekšskatījums nav pieejams - 2010 |
Bieži izmantoti vārdi un frāzes
3D image 3D US image absorption coefficient algorithm angle applications approach arteries articulation azimuth BMP2 calculated cardiac clutter component compression Computer Vision configuration variant consistency regions coordinate corresponding Cube curve data set database distortion eigenvectors emission estimate face recognition false alarm Fourier transform frequency function histograms hyperspectral hypothesis IEEE IEEE Transactions illumination imagery infrared invariant ladar laser linear locations LWIR match measure Medical Imaging method metric model objects model-based MSTAR MWIR needle object detection object recognition occlusion optical parameters peak pixel pixel spectrum predicted Procrustes projection prostate PSNR pulse radar range recognition performance recognition system refractive index ROC curve sample scanning scattering centers Section sensor sequence shape shown in Figure signal similarity spatial STFT subbands target spectral techniques terahertz imaging terahertz radiation terahertz-pulsed imaging thermal infrared three-dimensional tion tissue variations vector visible volume votes voxels wavelet zerotree coding
Atsauces uz šo grāmatu
Evolutionary Synthesis of Pattern Recognition Systems Bir Bhanu,Lin Yingqiang,Krzysztof Krawiec Ierobežota priekšskatīšana - 2005 |