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The Handbook of Computer Vision and Applications, Three-Volume Set is on one of the "hottest" subjects in today's intersection of Applied Physics, Computer Science, Electrical Engineering, and Applied Mathematics.
The uniqueness of this set is that it is very applications-oriented. Examples of applications in different fields of modern science are particularly emphasized. In addition, a CD-ROM is included with each of the three volumes.

Reviews

"This three-volume set is a remarkable collection of articles on computer
vision and image processing. Although written by a diverse collection of
experts, the chapters have been superbly edited to achieve a coherent
presentation, with consistent notation and perspective throughout.
Spanning most areas in the field of computer vision, its applications
and its foundations, most of the individual chapters are self-contained.
The editors have also added well-written chapters to provide a solid
base of introductory material.

Computer vision is an interdisciplinary field of research with many
industrial and scientific domains of application. Its foundations are
drawn from physics, signal processing, applied mathematics, computer
science, electrical engineering, and neuroscience. Applications include
mobile robotics, medical image analysis, human-computer interaction,
and scientific areas for which computer vision image analysis techniques
are becoming a key source of scientific data. Indeed, one of the great
strengths of this three-volume set is its focus on both the theoretical
foundations of the field and the applications of the techniques.

The first volume introduces the principles of imaging, which editors
of this book are in a unique position to produce. These chapters
include detailed introductions to optics, radiometry, reflectance,
illumination sources, and sensor technologies. The handbook also
extends this introduction to several other imaging modalities, including
3d range imaging, infrared imaging, MRI, fluoroscopic imaging, and electron
microscopy. These chapters provide a thorough, accessible treatment of
imaging that is unparalleled in any book on computer vision or image
processing. Volume one of the handbook constitutes a definitive and
coherent treatment of radiometry, imaging and sensors.

Volume two introduces the mathematical foundations of image processing
and computer vision. These chapters cover many core areas of computer
vision research (e.g., multiscale image representation, motion, texture,
stereo, shape-from-shading, etc) as well as more recent promising
developments (e.g., nonlinear diffusion, robust variational techniques,
and Bayesian methods). While this volume may not be appropriate for a
course textbook on computer vision, it should provide students with an
outstanding resource.

Volume three is a unique contribution to the computer vision literature;
never before have editors been so dedicated to including thorough, careful
treatments of such a broad range of industrial and scientific applications
of computer vision. With over 40 chapters on applications, there are
articles on photogrammetry, oceanography, botany, surveillance, people
tracking, visually-guided control, 3d object recognition, and many others.
While, such applications are often ignored by textbooks and edited volumes
devoted to computer vision, this unique volume provides a vivid snapshot
of the depth and diversity of the state of the art in computer vision
applications today.

This handbook on computer vision and its applications is a unique,
comprehensive reference that all libraries and computer vision laboratories
will want to have on their shelves. It will also serve as a rich resource
for instructors teaching courses on computer vision and image processing;
the enclosed CD contains pdf versions of all chapters, which will greatly
enhance the value of the handbook.
?David Fleet, Xerox Palo Alto Research Ctr.
These three volumes collect an enormous amount of information about
technical aspect of computer vision, and are written by some of the best
European scientists in the field. Every chapter explores a particular
device, technique, or application in much greater detail, and strives for
greater accuracy of results, than standard computer vision books do.
Applications and examples describe real systems, actually deployed in
industrial and scientific settings.

Imaging systems are studied well beyond the pinhole camera model. A whole
volume is devoted to them, ranging from a thorough and rigorous discussion
of the basic principles, both for two- and three-dimensional acquisition,
through an authoritative analysis of sensors, and to up-to-date accounts of
imagers of all types: cameras, ultrasound and acoustic imagers, range
finders, microscopes, MRI devices, and more.

Volume two covers "classical" computer vision techniques. The vast range of
topics, from signal processing to knowledge-based interpretation of images,
is covered with unprecedented thoroughness, and a fantastic effort has been
made to treat all topics in a uniform, simple, and well designed notation,
and to place them into a coherent conceptual framework. Individual chapters,
or collections of chapters, from volume two can be used as an excellent
basis for college courses on nearly every aspect of computer vision. The
accompanying CD-ROM, with its wealth of both images and software, can add
substantial value to such courses.

Volume three, being a collection of case studies, is more varied in its
level of coverage, with some of the chapters describing preliminary results,
and others, like Dickmann's chapter on dynamic vision, surveying decades of
concentrated work on a particular topic. In all cases, however, attention
for detail and strive for accuracy set this collection apart.

Together, these three impressive volumes testify to the maturing role of
computer vision as a discipline with both conceptual depth and great
industrial, scientific, and technical relevance."
?Carlo Tomasi, Robotics Laboratory, Stanford University

Feature

Key Features
* Presents an interdisciplinary approach to the basics and the state-of-the-art of computer vision, written in a way that is understandable for a broad audience
* Covers modern concepts in computer vision and modern developments of technical imaging sensors
* Bridges the gap between theory and practical applications
* Features the entire text of the handbook on CD-ROM with hyperlinks for quick searching and browsing
* Includes a rich collection of additional material on the CD-ROM: reference material, interactive software components, code examples, image material, and references to sources on the Internet

정보제공 :

CONTENTS
Preface = xi
Contributors = xiii
  1. Introduction / B. J ddota hne = 1
    1.1 Components of avision system = 1
    1.2 Imaging systems = 2
Ⅰ IIIumination and Image Formation
  2. Radiation / H. Hau beta ecker = 7
    2.1 Introduction = 8
    2.2 Fundamentals of electromagnetic radiation = 9
    2.3 Radiometric quantities = 13
    2.4 Fundamental concepts of photometry = 24
    2.5 Thermal emission of radiation = 28
    2.6 Acoustic waves = 34
    2.7 References = 35
  3. Interaction of Radiation with Matter / H. Hau beta ecker = 37
    3.1 Introduction = 37
    3.2 Basic definitions and terminology = 39
    3.3 Properties related to interfaces and surfaces = 43
    3.4 Bulk-related properties of objects = 52
    3.5 References = 61
  4. Imaging Optics / p. Gei$$beta$$ler = 63
    4.1 Introduction = 64
    4.2 Basic concepts of geometric optics = 64
    4.3 Lenses = 67
    4.4 Optical properties of glasses and other materials = 78
    4.5 Aberrations = 81
    4.6 Optical image formation = 90
    4.7 Wave and Fourier optics = 96
    4.8 References = 101
  5. Radiometry of Imaging / H. Hau beta ecker = 103
    5.1 Introduction = 104
    5.2 Observing surfaces = 104
    5.3 Propagating radiance = 112
    5.4 Radiance of imaging = 115
    5.5 Detecting radiance = 118
    5.6 Concluding summary = 134
    5.7 References = 135
  6. IIIumination Sources and Techniques / H. Hau beta ecker = 137
    6.1 Introduction = 137
    6.2 Natural illumination = 138
    6.3 Artificial illumination sources = 14
    6.4 illumination setups = 157
    6.5 References = 162
Ⅱ Imaging Sensors
  7. Solid-State Image Sensing / p. Seitz = 165
    7.1 Introduction = 166
    7.2 Fundamentals of solid-state photosensing = 168
    7.3 photocurrent processing = 176
    7.4 Transporatation-of photosignals = 182
    7.5 Electronic signal detection = 185
    7.6 Architectures of image sensors = 189
    7.7 Camera and video standards = 194
    7.8 Semiconductor technology of image sensing = 204
    7.9 Practical limitations of semiconductor photosensors = 207
    7.10 Thge future of image sensing = 209
    7.11 Conclusions = 218
    7.12 References = 219
  8. HDRC-imagers for Natural Visual Perception / U. Seger, U. Apel, and B. H ddoto fflinger = 223
    8.1 Introduction = 223
    8.2 Log compression at the pixel site = 224
    8.3 Random pixel access = 228
    8.4 Optimized S〈R by bandwidth control per pixel = 228
    8.5 Data density in the log space = 230
    8.6 Color constancy in the log space = 230
    8.7 Development of functionality and spatial resolution = 231
    8.8 References = 235
    9. Image Sensors in TFA(Thin Film on ASIC) Technology / B. Schneider ; P. Rieve ; M. B$$ddot o$$hm = 237
    9.1 Introduction = 238
    9.2 Thin-film detectors = 239
    9.3 TFA properties and design considerations = 249
    9.4 TFA array prototypes = 256
    9.5 TFA array concepts = 262
    9.6 Conclusions = 267
    9.7 References = 268
  10. poly siGe Bolometers / S. Sedky ; P. Fiorini = 271
    10.1 Overview = 272
    10.2 Principle of operation of bolometers = 274
    10.3 Microbolometer focal plane arrays = 280
    10.4 Bolometer materials = 284
    10.5 poly SiGe bolometers = 288
    10.6 Characterization of poly SiGe bolometers = 292
    10.7 Conclusions = 302
    10.8 References = 303
  11 Hyperspectral and Color Imaging / B. J ddota hne = 309
    11.1 Spectral signatures = 309
    11.2 Spectral sampling methods = 310
    11.3 Human color vision = 315
    11.4 References = 320
Ⅲ Two-Dimensional Imaging
  12. Dynamic Fluorescence Imaging / D. Uttenweiler ; R. H. A. Fink = 323
    12.1 Introduction = 323
    12.2 Fluorescence = 324
    12.3 Fluorescent indicators = 328
    12.4 Microscopic techniques = 332
    12.5 Analysis of fluorescence images = 342
    12.6 Summary = 343
    12.7 References = 344
  13. Electron Mictoscopic Image Acquisition / H. Stegmann ; R. Wepf ; R. R. Schr ddoto der = 347
    13.1 Introduction = 348
    13.2 Electron-specimen interactions = 349
    13.3 Transmission electron microscopy (TEM) = 350
    13.4 Scanning transmission electron microscopy(STEM) = 359
    13.5 Analytical transmission electron mictoscopy = 361
    13.6 Scanning electron microscopy(SEM) = 364
    13.7 Preparation techniques = 368
    13.8 Digital image processing of electron mictographs = 369
    13.9 Imaging examples = 370
    13.10 References = 383
  14. Processing of Ultrasound Images in Medical Diagnosis / W. Albert ; M. Pandit = 387
    14.1 Introduction = 387
    14.2 Ultrasound imaging systems = 390
    14.3 Processing the B-mode image = 399
    14.4 Examples of image processing of B-mode images = 404
    14.5 Conclusions and perspectives = 411
    14.6 References = 412
  15. Acoustic Daylight Imaging in the Ocean / M. J Buckingham = 415
    15.1 Inrtoduction = 415
    15.2 The pilot experiment = 416
    15.3 ADONIS = 418
    15.4 Acoustic daylight images = 420
    15.5 Concluding remarks = 422
    15.6 References = 423
  16. The Multisensorial Camera for Industrial Vision Applications / R. Massen = 425
    16.1 Image segmentation with little robustness = 425
    16.2 Sensor fusion and multisensorial camera = 426
    16.3 A featrue vector with every pixel = 428
    16.4 A real-time three-dimensional linescam camera = 429
    16.5 A real-time linecan scatter camera = 430
    16.6 The multisensorial color-height-scatter camera = 433
    16.7 Compressing the multisensorial camera signals = 435
    16.8 The one-chip multisensorial camera = 435
    16.9 Conclusion = 436
    16.10 References = 437
Ⅳ Three-Dimensional Imaging
  17. Geometric Calibration of Digital Imaging Systems / R. Godding = 441
    17.1 Definitions = 442
    17.2 Parameters influencing geometrical performance = 442
    17.3 Model of image formation with the aid of optical systems = 444
    17.4 Camera models = 445
    17.5 Calibration and orientation techniques = 450
    17.6 photogrammetric applications = 457
    17.7 References = 460
  18. Principles of Three-Dimensional Imaging Techniques / R. Schwarte ; H. Heinol ; B. Buxbaum ; T. ringbeck ; Z. Xu ; K. Hartmann = 463
    18.1 Introduction = 464
    18.2 Basic principles = 465
    18.3 Some criteria and specifications = 467
    18.4 Triangulation = 469
    18.5 Time-of-flight(TOF)of modulated light = 474
    18.6 Optical Interferometry (OF) = 479
    18.7 Outlook = 482
    18.8 Referebces = 482
  19. Three-Dimensional Sensors-Potentials and Limitations / G. H$$ddot a$$usler = 485
    19.1 Introduction = 485
    19.2 Why three-dimensional sensors? = 486
    19.3 Some important questions about three-dimensional sensing = 488
    19.4 Triangulation on optically rough surfaces = 489
    19.5 White-light interferometry on rough surfaces = 495
    19.6 Summary = 503
    19.7 Conclusion = 504
    19.8 References = 505
  20. High-performance Surface Measurement / R. W. Malz = 507
    20.1 Introduction = 508
    20.2 Close-range photogrammetry = 511
    20.3 Sequential lightprocessing and information theory = 517
    20.4 Advanced self-calibration of three-dimensional sensors = 526
    20.5 Hybrid navigation of three-dimensional sensors = 529
    20.6 Mobil measuring system "Ganymed" = 532
    20.7 Conclusions = 536
    20.8 References = 538
  21. Three-Dimensional Light Microscopy / E. H. K. Stelzer = 541
    21.1 Three-dimensional microscopy = 542
    21.2 Telecentricity = 543
    21.3 Theory of three-dimensional imaging = 547
    21.4 Confocal microscopy = 548
    21.5 Index mismatching effects = 555
    21.6 Developments in confocal microscopy = 556
    21.7 Resolution versus distance = 557
    21.8 Perspectives of three-dimensional light microscope = 558
    21.9 References = 559
  22. Magnetic Resonance Imaging in Medicine / W. G. Schreiber ; G. Brix = 563
    22.1 Introduction = 564
    22.2 Basic magnetic resonance physics = 564
    22.3 Image acquisition and reconstruction = 574
    22.4 Image contrast = 587
    22.5 Fast imaging methods = 592
    22.6 Overview of quantitative applications = 596
    22.7 References = 598
  23. Nuclear Magnetic Resonance Microscopy / A. Hasse ; J. Ruff ; M. Rokitta = 601
    23.1 Introduction = 601
    23.2 Methodology = 603
    23.3 Applications to plant studies = 605
    23.4 Applications to animal studies = 609
    23.5 Discussion = 611
    23.6 References = 612
Index = 613