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Bhanu B., Pavlidis I. — Computer Vision Beyond the Visible Spectrum
Bhanu B., Pavlidis I. — Computer Vision Beyond the Visible Spectrum



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Название: Computer Vision Beyond the Visible Spectrum

Авторы: Bhanu B., Pavlidis I.

Аннотация:

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.


Язык: en

Рубрика: Технология/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2004

Количество страниц: 326

Добавлена в каталог: 11.12.2007

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
object detection      142 147
Object recognition, feature-based      4
Object recognition, model-based      1
Object similarity      7 9
Object—image relations      100
Obscuration      77 81
Observations      50
Occlusion      1 2 7 9 60
Operating conditions      72
Optical properties      291
Optical rectification      274
Optical spectroscopy      274
Optimal vessel path      223
Orthogonal projection      257
Orthogonal projection, matrix      126
Orthogonal subspace projection      126
Partial acquisition      202
PCR, lower bound      21
PCR, upper bound      22
PDF      17
PDM      204
Peak signal-to-noise ratio      155
penetration      275
Performance bounds      17
Performance—prediction method      6
Persistence      156
PET      242
Phantom test objects      259
Phase-contrast imaging      201
Planck’s constant      172
Plaque morphology      229
pmf      44
Point cloud      83
Point correspondence      81 99
Point distribution model, 2D      205
Point distribution model, 3D      206
Positive evidence      47
Postprocessing      219
Prediction method      3
Predictor coefficients      156
Preimplant dose planning      252
Principal component analysis      117 184
Principal components      91
Priori      257 259
Probability of correct recognition(PCR)      3
Probe      185
Procrustean metrics      94
Procrustes analysis      206
Prostate brachytherapy      251
Prostate mesh      254
Quality control      278
Quaternion      207
Radiofrequency      194
Range image      74
Range profile      76
Rayleigh scattering      277
RBR edge detector      253
Real model      49
Real-time imaging      203
Reference pulse      279
Reflectance      77
Reflectance spectra      117
Reflective sensor      80
Refractive index      290
Refractive index, broadband      292
Resonance      194
Respiratory triggering      196
Responsivity      174
ROC curve      4 39 50 59 64 135 145
ROI      40
Rotation      80
Run-length coding      157
Run-time      163
Sampling lattice      72
Sampling rate      287
Scalar quantization      155 158
Scaling parameter      286
Scanning, tilt approach      245
Scanning, tracked free-hand      246
Scanning, untracked free-hand      248
Scatterer amplitude      44
Scatterer location invariance      44
Scattering centers      40
Scintillation      43 77
Seed, candidate extraction      264
Seed, identification      264
Seed, implantation      252
Seed, point      219
Segmentation      128
Semiconductor characterization      278
Sensor model      99
Sensor panning motion      144
Shape, factor      51
Shape, intensity vector      210
Shape, metrics      93
Shape, parameters      210
Shape, recognition      85
Shape, representations      83
Signal compression      293
Signal-to-noise ratio (SNR)      129
signatures      277
Similarity function      8
Similarity group      94
Similarity histograms      15
Singular value decomposition      97
Size-based detection      148
Smaller-aspect separation      227
Snake contour      254
Spatial distribution      278
Spatial sampling degradation      246
Spatial variance      142
Speckle decorrelation      247
Spectral dissimilarity      127
Spectral feature vector      130
Spectral reflectance curves      130
Spectral template      136
Spectral variability      123 125 130
Spectrometer      118
Spin angular momentum      194
Spin-echo imaging      197
Statistical shape analysis      93
Step wedge      292
STFT      283
Subpixel      118
Subspace, estimation      133
Subspace, modeling      126
Superquadrics      84
Surface positioning errors      214
Surface resampling      80
Synthetic aperture radar      1 24 39
Target bias      63
Target classification      137
Template matching      85 126
Temporal variance      142
Terahertz, frequency band      271
Terahertz, pulsed imaging      271 274
Terahertz, radiation      271
Terahertz, radiation, sensitivity      276
Terahertz, radiation, transmission      290
Test set      24
tetrahedron      208
Threshold      128
Tilt motion      245
Time delay      288
Time—frequency analysis      279
TOF      202
Transducer      243
Transesophageal      245
Transfer functions      259
Transformation      210
Translation      79
Translation space      48
Translucency rendering      251
Transmission responses      279
Transrectal      245
Tree construction      220
Tree search      91
Tree segmentation, venous      226
Tree segmentation, vessel      227
Tree, growing      219
Tree, root      220
Tree, vasculature      220
Tree, vessel      219
Tree-structure generation      222
Triangular mesh      83
TRUS      252
Two-point radiometric calibration      175
Ultrafast infrared laser      274
Ultrasonography      241
Ultrasound imaging      241
Ultrasound imaging, 2D      242
Ultrasound imaging, 3D      241 243
Ultrasound imaging, 3D reconstruction      248
Ultrasound imaging, 3D reconstruction, feature-based      249
Ultrasound imaging, 3D reconstruction, voxel-based      249
Ultrasound imaging, conventional      242
Uncertain instance      8
Uncertainty      2 6 8 257
Uncertainty principle      285
Uniform similarity model      13
Unknown objects      82
Unoccluded confuser      61 65
Unsupervised segmentation      133
Variance analysis      142 143
Vasculature assessment      219
Vector quantization      297
Ventricular segmentation      206
Vessel, central axes      217
Vessel, segment labeling      223
Vessel, segmentation      216 219
Vitro applications      277
Vivo applications      278
VLWIR      168
Volume rendering      251
Volume, cropping      257 262
Volume, rendering      259
Vote process      17
Votes      3 47
Warping      208
Wavelet      155 285
Wavelet transform      155
Wavelet transform, continuous      286 288
Wavelet transform, discrete      287
WBCAF      288
Weight functions      55
Weighted voting      55
Window function      284
Zerotree      156
Zerotree, coding and DPCM coding      155
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